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Record W2115863378 · doi:10.1002/jcop.20482

Exploring the relevance of feminist pedagogy to community psychology: continuing the dialogue

2011· article· en· W2115863378 on OpenAlexaff
Melissa St. Germaine-Small, Richard Walsh‐Bowers, Terry Mitchell

Bibliographic record

VenueJournal of Community Psychology · 2011
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWilfrid Laurier University
FundersDivision of Graduate Education
KeywordsCommunity psychologyScholarshipPedagogyFeminist pedagogySociologyInterpersonal communicationRelevance (law)PsychologyFeminismSocial psychologyGender studiesPolitical science

Abstract

fetched live from OpenAlex

Abstract Psychology has made advances in rectifying its historical negation of women's perspectives, as evidenced by a steady increase in women's scholarship and distinctly feminist works. However, in community psychology, the scope and magnitude of works generated both by and about women from a feminist framework have not kept pace with discourse on the nature of graduate education. The purpose of this article is to stimulate further discussion about the ways in which greater attention to the principles and practices of feminist pedagogy can enhance the interpersonal processes and content of community psychology graduate education. We provide illustrative examples of feminist pedagogy for community psychology from doctoral student and female and male faculty perspectives. We conclude by discussing the challenges to actualizing the potential for social action inherent in feminist pedagogy in relation to its apparent congruency with the principles and practices of community psychology. © 2011 Wiley Periodicals, Inc.

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)0.046
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0220.078
Scholarly communication0.0180.023
Open science0.0030.015
Research integrity0.0130.016
Insufficient payload (model declined to judge)0.0050.000

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 head0.511
GPT teacher head0.534
Teacher spread0.023 · 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 designNot applicable
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

Citations5
Published2011
Admission routes1
Has abstractyes

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