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Record W4309971982 · doi:10.1111/soc4.13052

Class and class conflict: An objective‐subjective interactive approach

2022· article· en· W4309971982 on OpenAlex
Edward Haddon, Cary Wu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociology Compass · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsYork UniversityInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsSocial classClass (philosophy)PerceptionSocial psychologyWorking classSocial conflictClass conflictPsychologySociologyPolitical scienceComputer sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract Class conflict is one of the biggest sources of social tension. But why do some individuals perceive more class conflict than others? In this article, we consider how subjective self‐placement interacts with objective social class to shape people's perception of class conflict. We argue that the common finding that individuals often misidentify with the incorrect class can have implications on how they perceive class conflict in their society. Analyzing data from the International Social Survey Programme (ISSP 1999 and 2009), we find that while, overall, perception of class conflict is higher among the working class and lower among salariats, self‐placing lower in the social structure can bring perceptions closer together. Specifically, we show that salariats who deflate their class identities to levels expected of the working class perceive levels of class conflict similar to the working class. This study is among the first to document the disparate effects of the interplay between objective and subjective class on perception of class conflict across countries and over time.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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