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Record W2610428116 · doi:10.1002/ajcp.12141

On the Historical and Conceptual Foundations of a Community Psychology of Social Transformation

2017· article· en· W2610428116 on OpenAlexaff
Ravi Gokani, Richard T. G. Walsh

Bibliographic record

VenueAmerican Journal of Community Psychology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCommunity psychologySociologyTransformative learningPraxisSocial transformationSocial scienceEpistemologyPoliticsSocial psychologySocial changePsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

We examine historical and conceptual literature in community psychology in order to understand the field's potential to be the socially transformative subdiscipline of psychology to which it aspires. By reviewing papers from two prominent journals and other literature, we conclude that the claim that community psychology is well-suited to social transformation, because it is a product of Sixties' radicalism and is theoretically equipped, is untenable. Systematic accounts of the subdiscipline's origins suggest that the transformative aspirations of current community psychologists do not correspond to the subdiscipline's reformist past. Furthermore, in analyzing three related concepts currently employed in the field-social justice, power, and praxis-we show that each suffers from conceptual ambiguity and a restricted political scope. These conceptual flaws, coupled with community psychology's historical inclination toward social reform, inhibit the possibility of contributing to radical social transformation. We conclude that neither questionable historical claims nor ambiguous and politically dubious concepts support a community psychology of social transformation. We offer solutions for the historical and conceptual problems we identify and, as a broader solution to the problem of engaging in socially transformative work, propose that community psychologists should seek direct political engagement in solidarity with other citizens as fellow citizens not as psychologists.

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)0.011
metaresearch head score (Gemma)0.015
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.005
Science and technology studies0.0110.079
Scholarly communication0.0110.016
Open science0.0020.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.247
GPT teacher head0.537
Teacher spread0.290 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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