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Record W3172233522

Can Participatory Action Research “Empower” Participants in Adult Educational Studies? A Marxist-Feminist Analysis

2019· article· en· W3172233522 on OpenAlex
Yidan Zhu

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociologyParticipatory action researchAdult educationPositivismMarxist philosophyAction researchCitizen journalismPower (physics)Educational researchAction (physics)Social justiceSocial sciencePedagogyPoliticsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Participatory Action Research (PAR), as a research methodology, challenges conventional, positivist and scientific approaches. Current studies on PAR in adult educational studies explore how to develop PAR to enhance research practice and further the “democratizing aims of adult education” (Joyappa & Martin, 1996). The history of PAR as a part of adult educational movements has been developed for social justice and social change (Glassman, Erdem & Bartholomew, 2013). Yet, while conducting PAR in adult education with the commitment of “empowering” the oppressed, researchers sometimes overlook unequal social and power relations behind PAR, restrictions from institutional power, and tensions between local practice and currents of global neoliberalization. This reflective paper adopts a Marxist-feminist theoretical framework to review the historical development of PAR in adult education, and analyzes the limitations of “empowering” adult participants through PAR.

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)0.011
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.707
GPT teacher head0.686
Teacher spread0.022 · 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