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Record W2150560615 · doi:10.1177/0741713605286173

What's the Matter with Social Class?

2006· article· en· W2150560615 on OpenAlexaff
Tom Nesbit

Bibliographic record

VenueAdult Education Quarterly · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSalience (neuroscience)Social classProsperityLife chancesClass (philosophy)SociologyRace (biology)PoliticsSociology of EducationSocial psychologyGender studiesPsychologyPolitical scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

Social class is a major determining factor of accomplishment in most educational, employment, and social arenas and still one of the best predictors of who will achieve success, prosperity, and social status. Yet, despite its continued significance, social class is rarely as well considered as the related analytic vectors of gender and race, particularly within U.S. adult education. So why do scholars so significantly acknowledge class less than its counterparts and why is it so underrepresented in adult educational theory? This article explores the development of social class and its relationship to several different arenas of adult education practice. It highlights the links between adult education, the material and social conditions of daily and working lives, and the economic and political systems that underpin them. The article also reaffirms the salience of class in shaping the lives we lead and the educational approaches we develop.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.014
Scholarly communication0.0100.011
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.008
GPT teacher head0.337
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations57
Published2006
Admission routes1
Has abstractyes

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