Are You Sitting Comfortably? Then I'll Begin
1:19am - 5th May 2023
Local elections are always a fascinating
part of the electoral cycle in the United Kingdom. Some may argue that local
elections are just ‘not important’. Although local authorities do not control
national policy, the day-to-day oversight of the public services that make our
lives more liveable is within their purview. Whether we be in a Unitary
Authority, Metropolitan Borough, District Council or County Council in England,
Scotland, Northern Ireland or Wales, and whether our concern be local
transport, social care, schooling, housing, planning, or waste collection -
local government sits at the heart of it all. Therefore, just because the
machinations of local government are closer to home and may feel increasingly
mundane or common-place, this emphatically does not mean that the process of
selecting representative decision-making agents on the local level holds any
less intrinsic significance to one being able to live a liveable life than that
for the national assembly. The salience of domestic policy on the national
level may always and forever be wide reaching. However, the public odour of
uncollected waste, the lack of available bus routes, ineffective social care,
crumbling public services, absent childcare facilities, flooded roads, or a
deficiency of available housing undermines our potential to simply live a
liveable life both immediately and markedly. To have, decide upon and provide a
liveable life for all – that is why local elections are significant.
Aside from the manner in which Local
Elections effect ones life individually, Local Elections can give us an indicator
of how the public feels about the state of British Politics as a whole.
Nonetheless, it is important we are aware that Local Elections are not a
good indicator for nation-wide or general elections. Although they can be
useful for taking the pulse of the electorate, people vote differently at
different levels of elections, wherein local issues do naturally play a part in
local elections and national issues at national elections.[1]
This being said; however, the effect of
local elections can be tectonic. For instance, in their ‘British General
Elections Since 1964: Diversity, Dealignment and Disillusion’, David Denver
and Mark Garnett highlight the significance of UKIP gains in the 2014 Local and
European Parliamentary Elections to the decision made by David Cameron in promising
a referendum on Britain’s membership in the European Union.[2] This is but just one example
of the manner in which Local elections can affect the milieu of national policy
and policy delivery. Equally, they can indicate the rise in popularity of the leading
national opposition party prior to a victory on the parliamentary level; as
happened for the Conservatives’ Vote Share in the change between 2008 (34%) and
2009 (44.4%) – the year before they came into power in coalition with the
Liberal Democrats.[3]
Therefore, it is by the manifestation of their effect that the outcome of Local
Elections can have an influence on the national level.
Alongside this, amidst the evidence presented by Edward Fieldhouse (et.al.)
in their ‘Electoral Shocks: The Volatile Voter in a Turbulent World’, we
cannot ignore the fact that the British electorate is comprised of so-called
‘volatile voters’ on an aggregate level, irrespective of electoral level.
Building on the work of Ascher and Tarrow, for Fieldhouse (et.al.) this should
be understood as “the net change within the electoral party system resulting
from vote transfers”.[4] This
is significant as we can see that the twenty-first century has, so far at least,
seen the British voter unanchored from factors influencing traditional voting
alignment, observed in the so-called contemporary class-dealignment phenomenon.
This implies that our political system is now far more susceptible to events
and ‘electoral shocks’ that may have seemed unthinkable in the past. The
collapse of the so-called ‘Red Wall’ in 2019 is an excellent illustration of
such a phenomenon.[5] Therefore, at this
juncture, it is always possible that the British electorate can defy
expectation and either: (a) uphold the status-quo, or, (b) engage in some
manner of unprecedented tectonic shift.
So, what are we looking at today? On the
4th May 2023, 230 councils are undergoing elections – as is the Northern
Irish Assembly. Of these 230, 94 are electing one-third of their council seats
and 136 are electing the whole set. This means that 8,058 seats will be fought
for on the local level in the UK this year. It might be tempting to compare
this election with last years, statistically speaking, given that it was the
most recent. Nonetheless, we cannot forget that Local Elections work in cycles,
i.e. the councils electing all of their seats this year will not have been
those that elected all of their seats last year. Subsequently, it is worth
reminding the reader that the year we should be comparing to is the last one
that was on the same cycle – and that is 2019.
Using the ‘bible of local elections’, The ‘Local Elections Handbook 2019’ by Colin Rallings and Michael Thrasher, the total state of the parties was as follows:
|
Con |
Lab |
LD |
Other |
Nat |
NOC |
Total |
Councillors |
7507 |
6332 |
2531 |
2655 |
622 |
- |
19,647 |
Councils Controlled |
144 |
98 |
23 |
11 |
1 |
118 |
395 |
Vote Share (%) |
31.1 |
26.5 |
16.9 |
25.6 |
- |
- |
100 |
Figure
1 – Councillors, Council Control and Vote Share (%) after the 2019 Local Elections[6]
These are some really significant
figures to keep in mind, especially Vote Share (%). As has already been
discussed elsewhere
on the poLit blog, this is an election where the context is one of expected unpopularity
for the conservatives. As we go through the night, I will be live blogging some
statistical information as the first results come in. The purpose of this will
be to lay out some statistical intrigues and predictions concerning: (a) Turnout
at Local Elections, (b) Vote Share (%), (c) Councillor and Council Control, and
lastly (d) Ward control. This will all occur before turning over to some
Kirklees Council specifics as poLit live blogs from the count in Huddersfield.
This particular council will be explored as a case study because it was the heart of the class-dealignment
phenomenon on the constituency level in 2019 – specifically with Working Class dealignment
in Colne Valley.[7]
Thus, it will be the topic of investigation as to whether or not if the results
of this Local Election will indicate a reversal of that very phenomenon in the ‘Red
Wall’, and the way that could adapt national policy as the potential
epicentre of that very indication. Let’s turn, fittingly, to Turnout.
Turnout – What should we expect?
3:35am - 5th May 2023
Ok let’s turn out for turnout. Turnout
is always significant because it’s a good measure of political participation
and whether or not our polity is experiencing a democratic deficit in such a
manner. Turnout can have dramatic effects on legitimacy, which may be defined
as the right to govern. There are a number of ways in which we can ‘operationalise’
or measure turnout. Operationalisation is always important as it can change the
way one observes a phenomena. For example, one can operationalises temperature
by measuring degrees with a thermometer or by measuring the comfortability of a
space in its effect on one’s constitution on a sliding scale from -5 to +5 –
for instance. The way you operationalise something changes how you see the
phenomenon itself.
Operationalising Turnout is no different.
Simply put, turnout is the percentage of the eligible electorate that turnout
out to vote – often reported in this manner as Voting Eligible Population
Turnout (VEP).[1]
It would be nice if at Local Elections in the UK, it was this simple. As local
elections are conducted by local authorities turnout is reported by ward and then
aggregated onto the council level. For this investigation I have chosen to
adopt focussing on cumulatively reported average turnout for all authorities, as
this is more than likely to be the one reported on. This has been chosen
despite the fact that aggregate level turnout allows for a cancelling out of
individual level idiosyncrasies.[2] Also, in presentation of
this data, I have chosen to exclude those years with May general
elections, as this mystifies applicability to this election.
What does the data tell us about trends
and probabilities that can inform us about 2023. Let’s begin with the long term
data, which is observable below in Figure 2.
Year |
Turnout |
1999 |
34.4 |
2000 |
29.1 |
2002 |
32.8 |
2003 |
35.2 |
2004 |
40.2 |
2006 |
36.3 |
2007 |
36.3 |
2008 |
36 |
2009 |
39.2 |
2011 |
41.8 |
2012 |
31.9 |
2013 |
30.9 |
2014 |
36.1 |
2016 |
34.1 |
2017 |
35.7 |
2018 |
38.9 |
2019 |
33.3 |
2021 |
36.1 |
2022 |
34.4 |
μ |
35.41 |
σ |
3.0850 |
R |
0.1076 |
r2 |
0.0116 |
t |
0.4461 |
p |
0.66115 |
ta |
0.0477 |
pa |
0.96250 |
Figure
2a – A Long-Term view of Turnout (%) for Local Elections in the UK (1999-2022)
Figure 2b - A Long-Term view of Turnout (%) for Local Elections in the UK (1999-2022) in Graphic form.
What can we learn from this. First of
all, the average (μ) turnout in this view has been
35.41%, retuning a standard deviation (σ) of 3.085. The highest point reached
was in 2011, wherein 41.8% of the electorate turned out, still below an
absolute majority of the number of eligible voting public. The lowest depth reached
was in 2000 where only 29.1% turned out to vote.
This latter figure is the one to recall, as
fears turnout will be negatively affected by (a) voter fatigue and (b) newly
introduced Voter ID legislation is widespread, with reports across the country repeating
these concerns.[3]
The data will speak for itself, but for the time being at least, there is
plenty of data that we can compare from US elections that show Voter ID does not
necessarily have to negatively affect turnout, even if it may indeed have an
influence in other ways.[4] Saying this, we can remain
sceptical of such a comparison, especially given normative distinctions between
political cultures in the UK and the US.
Returning to the data in Figure 2,
there is however a lack of statistical evidence of any kind of correlation or
trend with time. Therefore, using a normal distribution curve, statistically
speaking, what is the probability that turnout will go up, down, break ceilings
or smash through basements? There is only a 2% chance that turnout will drop
lower than the 2000 rock-bottom point of 29.1%. Nonetheless, there is already
indicators coming in that turnout will be lower than its 2019 counterpart. For
instance, Hull City Council declared that their turnout sat at 22.01%, a decrease
of some 1.4%.[5]
Thus as the night goes on, we may find this 2 in 100 probability slowly becomes
more of a realistic outcome.
Inversely, what if this is just fear,
scepticism and cynicism rolled together? What is the likelihood that turnout
will break through the ceiling? There is only a 1.9% chance that the 41.8% high
of 2011 will be breached. Consequently, following on from this, the statistical
likelihood that turnout will fall at some point between these two polls returns
a 96% probability. How can we close this 12-point aperture and find a smaller
window of probability? The answer – look at the short-term view with this long-term
view in mind.
Year |
Turnout |
2016 |
34.1 |
2017 |
35.7 |
2018 |
38.9 |
2019 |
33.3 |
2021 |
36.1 |
2022 |
34.4 |
μ |
35.42 |
σ |
1.8225 |
R |
-0.0771 |
r2 |
0.0059 |
t |
-0.1547 |
p |
0.88455 |
ta |
0.0119 |
pa |
0.99108 |
Figure
3 - A Short-Term view of Turnout (%) for Local Elections in the UK (2016-2022)
Figure 3 lays out the short-term view of average turnout
(reported)(%) at UK Local Elections across all authorities, excluding years
with May general elections from 2016-2022. The average (μ) turnout in this view
fell at 35.42%, not too distinct from the long-term view laid out above, retuning
a standard deviation (σ) of 1.823 and so this tells us the data is more closely
clustered than the long-term figures. The highest point reached was in 2018, returning
in 38.9% and the lowest occurred in 2019 where 33.3% turned out to vote, less
than -1σ from the mean in either a long-term or short-term overview.
Much like the case above in Figure 2,
there is no correlation or concrete level of determinability with the passage
of time. What about closing that aperture however? How can we turn that
12-point gap of 96% probability into something a bit more focussed? Firstly,
before doing precisely this, the notion that turnout will remain above
the 2019 low – important because this is the election that we are cyclically comparing
to in 2023 – occurs roughly 88 times out of 100; 12 in 100 that it will fall below
33.3%.[6] Interestingly, there is
only a 3% chance that turnout will rise beyond 38.9%. If we close our scope of
focus slightly, we can see that the likelihood of turnout in 2023 resting
between the highest (38.9%) and lowest points (33.3%) of this short-term view sits
at 85%.[7]
An increase is statistically
implied in this data, although as discussed above this should be taken with a
shaker of salt. In both cases there is only a minimal correlation coefficient
and coefficient of determination. Nonetheless, statistically, probability favours:
(a) national turnout not decreasing below 29.1%, (b) an increase above the
short-term high of 38.9% occurs in only 3 times in 100, and so (c) it is not
unreasonable to expect national average turnout to rest somewhere between 33.3%
and 38.9% of which there is an 85% probability.
Heed this warning however –
these probabilities are only projections given the past data we have. As
discussed above, voter fatigue and new voter ID legislation could collapse
turnout entirely. Equally, the context of unpopularity surrounding the Conservatives
may compound this, leading to the observation that turnout will vary. The
expectation perhaps should be that the safer the council is for the Tories, the
lesser the turnout, with the inverse holding, i.e. the more marginal the seat,
the higher the turnout – especially if they are Conservative held currently. Perhaps
the context of this election will simply deem the statistical likelihood and history
of turnout data irrelevant this time around.
A Slice of The Pie? On Vote Share (%)
9:30 am - 5th May 2023 - Kirklees Election Centre.
Today, in the daylight, the final three-quarters
of seats of the 230 holding elections today will be counted for this election. I
shall be blogging about Kirklees’ election as the day goes on, but for now,
lets finish with the national level, speaking firstly about vote share (%) and any
relationships with the passage of time and other variables that are
significant.[1]
Share of the popular vote, or Vote Share (%), concerns the percentage of valid
votes won by the different parties at the election. Below, in Figures 4, Vote
Share (%) is laid out in two forms: a long-term view and a short-term view.
Year |
Con |
Lab |
LD |
Other |
Green |
UKIP |
Lab/Con |
1999 |
27.6 |
33.8 |
21.5 |
16.3 |
0.8 |
0 |
61.4 |
2000 |
37.2 |
32.4 |
24.3 |
4.9 |
1.1 |
0.1 |
69.6 |
2001 |
39.4 |
30.9 |
25.1 |
3.5 |
1 |
0.1 |
70.3 |
2002 |
32.2 |
35.3 |
23.7 |
5.8 |
2.7 |
0.3 |
67.5 |
2003 |
31.5 |
27.9 |
24.2 |
14.4 |
1.6 |
0.4 |
59.4 |
2004 |
29.6 |
28.6 |
23.9 |
13.5 |
3 |
1.4 |
58.2 |
2005 |
39.8 |
25 |
27.6 |
4.3 |
2.3 |
1 |
64.8 |
2006 |
34.5 |
28 |
23.4 |
8.6 |
4.6 |
0.9 |
62.5 |
2007 |
38 |
22.2 |
23.6 |
11.6 |
3 |
1.6 |
60.2 |
2008 |
34 |
26 |
21.3 |
14.7 |
2.6 |
1.4 |
60 |
2009 |
44.4 |
12.7 |
24.8 |
8.9 |
4.6 |
4.6 |
57.1 |
2010 |
32.5 |
31.9 |
23.8 |
6.7 |
3.5 |
1.6 |
64.4 |
2011 |
37.8 |
31.6 |
16.1 |
8.5 |
3.6 |
2.4 |
69.4 |
2012 |
25.3 |
42 |
13.2 |
12 |
3.7 |
3.8 |
67.3 |
2013 |
34.4 |
21.2 |
13.9 |
7.1 |
3.5 |
19.9 |
55.6 |
2014 |
25.9 |
35.8 |
11 |
5 |
6.6 |
15.7 |
61.7 |
2015 |
35.8 |
28.4 |
10.3 |
6.2 |
6.5 |
12.8 |
64.2 |
2016 |
27 |
38.5 |
12.8 |
5.1 |
6 |
10.6 |
65.5 |
2017 |
43 |
21.3 |
16.5 |
11 |
4 |
4.2 |
64.3 |
2018 |
31.8 |
41.2 |
14 |
5 |
6.7 |
1.3 |
73 |
2019 |
31.1 |
26.5 |
16.9 |
11.7 |
9.3 |
4.5 |
57.6 |
2021 |
40.5 |
27 |
15.3 |
8 |
9.1 |
0.1 |
67.5 |
2022 |
27.7 |
37.6 |
15.5 |
8.7 |
10.5 |
0 |
65.3 |
μ |
33.96 |
29.82 |
19.25 |
8.76 |
4.36 |
3.86 |
63.77 |
σ |
5.3316 |
6.8399 |
5.2233 |
3.6462 |
2.6464 |
5.3920 |
4.5634 |
R |
-0.0816 |
0.1029 |
-0.7687 |
-0.1486 |
0.8991 |
0.3540 |
0.0589 |
r2 |
0.0067 |
0.0106 |
0.5909 |
0.0221 |
0.8084 |
0.1253 |
0.0035 |
t |
-0.3753 |
0.4740 |
-5.5074 |
-0.6885 |
9.4119 |
1.7348 |
0.2702 |
p |
0.71122 |
0.64039 |
0.00002 |
0.49866 |
0.00000001 |
0.09743 |
0.78967 |
ta |
0.0305 |
0.0485 |
3.3564 |
0.1012 |
6.2927 |
0.5790 |
0.0159 |
pa |
0.97593 |
0.96177 |
0.00299 |
0.92036 |
0.000003 |
0.56876 |
0.98749 |
Figure
4a – Vote Share (%) For Different Parties at UK Local Elections (1999-2022)[2]
Figure
4b – Vote Share (%) For Different Parties at UK Local Elections (1999-2022) in graphic
form
Year |
Con |
Lab |
LD |
Other |
Green |
UKIP |
Lab/Con |
2016 |
27 |
38.5 |
12.8 |
5.1 |
6 |
10.6 |
65.5 |
2017 |
43 |
21.3 |
16.5 |
11 |
4 |
4.2 |
64.3 |
2018 |
31.8 |
41.2 |
14 |
5 |
6.7 |
1.3 |
73 |
2019 |
31.1 |
26.5 |
16.9 |
11.7 |
9.3 |
4.5 |
57.6 |
2021 |
40.5 |
27 |
15.3 |
8 |
9.1 |
0.1 |
67.5 |
2022 |
27.7 |
37.6 |
15.5 |
8.7 |
10.5 |
0 |
65.3 |
μ |
33.52 |
32.02 |
15.17 |
8.25 |
7.60 |
3.45 |
65.53 |
σ |
6.1072 |
7.3936 |
1.4067 |
2.5889 |
2.2316 |
3.6637 |
4.5485 |
R |
-0.0153 |
-0.0052 |
0.3847 |
0.2451 |
0.8688 |
-0.8142 |
-0.0289 |
r2 |
0.0002 |
0.0000 |
0.1480 |
0.0601 |
0.7548 |
0.6629 |
0.0008 |
t |
-0.0305 |
-0.0103 |
0.8335 |
0.5055 |
3.5087 |
-2.8049 |
-0.0578 |
p |
0.97710 |
0.99227 |
0.45142 |
0.63977 |
0.02470 |
0.04857 |
0.95670 |
ta |
0.0005 |
0.0001 |
0.2993 |
0.1203 |
2.3012 |
1.7710 |
0.0017 |
pa |
0.99965 |
0.99996 |
0.77963 |
0.91003 |
0.08283 |
0.15127 |
0.99875 |
Figure
4c – Vote Share (%) For Different Parties at UK Local Elections (2016-2022)
What can we see? First and foremost, let’s
limit scope to Figure 4a and 4b. Between 1999 and 2022, national vote
share at elections is highest for the Conservatives, who returned 33.96% on average
in the period. Labour follows with 29.86%, then the Liberal Democrats with
19.25%, then the Greens with 4.36%, UKIP with 3.85%, and finally the ‘Others’
with 8.76%.
There are only two statistically
significant correlations with the passage of time. The First concerns the
decrease of the Liberal Democrat’s share over time. It seems that since their best
performance in 2005 (27.6%), the Liberal Democrats have been unable to recover such
popularity – although the same could be said of the national level for
parliamentary elections to some degree. Interestingly, we should, statistically
speaking, expect the Liberal Democrat popular vote to decrease even further at
this election – decreasing just twice in every 10,000. As a result of this statistical
likelihood, if this transpires as not to be the case, then it will make
this election all the more fascinating, especially if their final share of the
vote is higher than 24.4% - an increase of over +1σ
in the face of this.
The
second concerns the rise of the Green Party. Although holding a period average
of just 4.36%, in 2019 the Greens returned 9.3% and 10.5% last year, in 2022.
To have risen from 0.8% and 1.1% in 1999 and 2000 respectively has been a feat by
any standard. We should, absolutely expect the Green Party’s vote share to rise
this year. Indeed, the odds that the Green Party share decreases this year sits
at only 3 in 100,000.
Now Turning
to Figure 4c, we can see that, in the short term, the order in which the
parties fall remains the same, however their averages differ. The Conservatives
are at the top with 33.52%, Labour with 32.02%, Lib Dems with 15.17%, the
Greens with 7.6%, UKIP with 3.45% and the Others with 8.25%.
There are
also only two statistically significant correlations here. One concerns the
rise in votes over the period for the Green Party, and the other the near total
wipe-out of UKIP. Speaking of the latter, in 2016 UKIP returned 10.6% of the
popular vote. By 2022, this was reduced to 0. The likelihood of UKIP gaining
anything more than 0.1% of the vote share nationally is very, very slim indeed.
The other correlation concerns the Green Party, wherein a period wide positive
correlation is clear; a reduction to less than 6% occurs only twice in 100
times.
Like always,
however, these are just the overarching trends, and they tell us very little about
the two major players in the UK’s Two-and-a-Half Party System. Thus, although
they do reveal quite a bit about the minor parties, they tell us little about
Labour or The Conservatives beyond the already known statistic that they magnetise
the greatest number of votes. Equally, context could change everything and once
again we could see realignment or even the beginnings of an ’Electoral Shock’
in the making.
[1] In the use of the phrase ‘significant’,
what I mean is ‘statistically significant’, wherein a correlation of
determination or correlation coefficient returns a p-value of less than 0.05.
[2] Rallings and Thrasher throughout
[1] A great reference point for this
discourse is: Thomas Holbrook and Brianne Heidbreder (2010) ‘Does
Measurement Matter? The Case of VAP and VEP in Models of Voter Turnout in the United
States’, State Politics and Policy Quarterly, 10(2), pp. 157-179; Michael P. McDonald (2022)
‘What is the voting-age population (VAP) and the voting-eligible population
(VEP)?’, United States Elections Project, https://www.electproject.org/election-data/faq/
denominator [Accessed 28th October 2022].
[2] Benny Geys. (2006). ‘Explaining voter
turnout: A review of aggregate-level research’. Electoral Studies. 25(4):
637-663; J.G. Matsusaka and F. Palda. (1999). ‘Voter turnout: How much can we
explain?’. Public Choice, 98(4): 431–446.
[3] Joanna Taylor. (4th May
2023). ‘Local elections 2023: Voter ID effect on turnout to be monitored at
polling stations ‘. Peterborough Telegraph. https://www.peterboroughtoday.co.uk/news/politics/local-elections-2023-voter-id-effect-on-turnout-to-be-monitored-at-polling-stations-4130254.
(Accessed 05/05/23); John Cooper. (4th May 2023). ‘Councillors
across Derbyshire reflect upon voting turnout and how much influence regional
results may have on national politics’. Derbyshire Times. https://www.derbyshiretimes.co.uk/news/politics/
council/councillors-across-derbyshire-reflect-upon-voting-turnout-and-how-much-influence-regional-results-may-have-on-national-politics-4130994.
(Accessed 05/05/23).
[4] Jason D.
Mycoff, Michael W. Wagner, and David C. Wilson (2009) ‘The Empirical Effects of
Voter-ID Laws: Present or Absent?’. PS: Political Science and Politics, 42(1): 121–126; Rene R. Rocha and Tetsuya Matsubayashi
(2014) ‘The Politics of Race and Voter ID Laws in the States: The Return of Jim
Crow?’. Political Research Quarterly, 67(3): 666–679; Rick Hassen (2020) Election Meltdown: Dirty Tricks, Distrust, and the Threat to American
Democracy. New Haven, CT: Yale University Press, p. 41.
[5] Hull City Council Twitter Post: https://twitter.com/Hullccnews/status/1654264376252145666
(Accessed 05/05/23).
[6] Where p = 0.8776 and p =
0.1224.
[7] Where p = 0.8495.
[1] Anthony Wells (1 May 2017) ‘Why local
elections are not useful indicators of national votes’. YouGov. https://yougov.co.uk/topics/politics/articles-reports/2017/05/01/why-local-elections-are-not-useful-indicators-nati.
(Accessed 05/05/2023).
[2] David Denver and Mark Garnett. (2021). British
General Elections Since 1964: Diversity, Dealignment and Disillusion.
Second Edition. Oxford: OUP. pp. 176-177.
[3] See Figure below detailing Vote Share (%).
[4] Fieldhouse, E., Green, J., Evans, G.,
Mellon, J., Prosser, C., Schmitt, H., and Van Der Eijk, C. (2020) Electoral
Shocks: The Volatile Voter in a Turbulent World. Oxford: OUP, p.9; Ascher,
W. and Tarrow, S. (1975) ‘The Stability of Communist Electorates: Evidence from
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[5] For a discussion and definition of the
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[6] Colin Rallings and Michael Thrasher.
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[7] Gavin Hart. (2022). ‘Working-class
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