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Record W3197881889 · doi:10.46743/2160-3715/2021.4871

Transformative Potential of Peer-Research: Connecting Theory with Practice

2021· article· en· W3197881889 on OpenAlexafffundabout
Lea Caragata, Jen Vasic

Bibliographic record

VenueThe Qualitative Report · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsWilfrid Laurier UniversityUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTransformative learningParticipatory action researchAction researchContext (archaeology)SociologyInterviewCitizen journalismInclusion (mineral)PsychologySocial psychologyPedagogySocial sciencePolitical science

Abstract

fetched live from OpenAlex

In this article, we report on follow-up research to the “Lone Mothers: Building Social Inclusion” project, a cross-Canada study which utilized a Participatory Action Research (PAR) methodology to investigate the experiences of single mothers on social assistance in a changing socio-political context. We analyzed the study’s peer-interviewing approach in detail. Findings suggest that PAR theory was applied in the Lone Mothers project in ways that cultivated and sustained authentic relationships, contributed to individual and social change, and minimized hierarchy. The effects of this commitment to the epistemology and values of PAR led to a non-linear and organic research process yielding high quality data. We contribute to PAR literature and the utilization of peer-interviewers through scrutinizing this methodology’s potential and challenges. We contend that PAR’s greatest transformative potential might come from building authentic and transformative relationships within research processes that facilitate robust data collection and divergent and innovative analytic perspectives.

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 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)0.030
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.614
GPT teacher head0.654
Teacher spread0.040 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2021
Admission routes3
Has abstractyes

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