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Record W2109061858 · doi:10.1177/1525822x0001200103

Problematic Success: An Account of Top-Down Participatory Action Research with Women with Multiple Sclerosis

2000· article· en· W2109061858 on OpenAlex

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.

Bibliographic record

VenueField Methods · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGrassrootsParticipatory action researchAction (physics)Citizen journalismAction researchPopulationPublic relationsSociologyPsychologySocial psychologyPolitical sciencePedagogyLaw

Abstract

fetched live from OpenAlex

This article focuses on the problems encountered while conducting participatory action research (PAR) with women with multiple sclerosis (MS). The term top-down means that the target population was defined and the research design was generated by a research team composed of academics and social services management rather than a grassroots group composed of women with MS. Overall, the research was a success; however, in the authors' experience, top-down–initiated PAR resulted in a number of problems including problematic assumptions, ambiguous relationships, and conflict. Inherent in top-down PAR designs are structural imbalances between professionals and nonprofessionals that are antithetical to the emancipatory philosophy and goals of PAR, imbalances that persist despite a researcher's commitment to PAR philosophy.

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)0.023
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.845
GPT teacher head0.686
Teacher spread0.159 · 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