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Record W2109678971 · doi:10.1177/0160597615574551

Commit Sociology

2015· article· en· W2109678971 on OpenAlexafffund
Susan Machum, Michael Clow

Bibliographic record

VenueHumanity & Society · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsSt. Thomas University
FundersCanada Research Chairs
KeywordsCommitSociologyPoliticsIdeologyPower (physics)WrightSocial scienceEnvironmental ethicsLawPolitical science

Abstract

fetched live from OpenAlex

This article elaborates how C. Wright Mills’ “sociological imagination” invites us to “commit sociology.” We argue critical thinking is the foundation of a liberal arts education, and its purpose is to have students recognize that the social world is constantly being constructed and reconstructed—how exactly depends upon the power dynamics embedded in the social, economic, and political institutions of any given time and place. Yet it is very challenging to achieve an awareness of the larger social processes in which our everyday actions are embedded or to recognize the role our everyday practices have in the maintenance or erosion of existing social injustices and inequalities. Moreover, political leaders feel threatened when their agendas, policies, and actions are questioned by the masses. Committing sociology— ipso facto being a successful liberal arts graduate engaged in public debates—threatens political leaders because it calls them to account for their ideologies and the impacts of their policies: a “crime” indeed.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0090.018
Scholarly communication0.0110.008
Open science0.0010.011
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0310.008

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 head0.143
GPT teacher head0.293
Teacher spread0.150 · 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 designTheoretical or conceptual
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

Citations3
Published2015
Admission routes2
Has abstractyes

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