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Record W4386051130 · doi:10.1111/tesg.12584

From Hegemonic to Where? The Public Spatialities of Shifting Positionings for Those Who Are Opposed to/Concerned About Socio‐Legal Changes in Sexual and Genders

2023· article· en· W4386051130 on OpenAlexaffabout
Kath Browne, Catherine J. Nash

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsBrock University
FundersH2020 European Research Council
KeywordsCONTESTPrivilege (computing)SociologyFraming (construction)Gender studiesHegemonyOpposition (politics)LegislationPublic spaceNorm (philosophy)SanctionsHuman sexualityPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Abstract In 21st‐century Ireland, Canada and the Great Britain, significant changes to sexual and gender legislation, abortion access and associated social and cultural life include the legalisation of same‐sex marriage, employment rights, access to abortion and self‐identification/gender recognition. This paper draws on interviews from the Beyond Opposition research to explore the experiences of those who are concerned about and/or actively oppose these socio‐legal changes. We consider participants understandings of themselves as losing power within social relations and the ways in which their positionings can be seen as excluded or marginalised in public spaces. Examining their experiences of public space offers insights into experiences of new power relations, including state sanctions, that contest binaries of marginalisation/privilege. These positions between marginalisation/privilege, illustrate the effectiveness and limitations of framing these views as ‘unacceptable’ in public arenas. Operating between marginal/privileged requires a reworking of these 20th Century paradigms for 21st Century social divisions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.351
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes2
Has abstractyes

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