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Record W2564891325 · doi:10.1093/fampra/cmw117

Participatory research: What is the history? Has the purpose changed?

2016· article· en· W2564891325 on OpenAlexaff
Ann C. Macaulay

Bibliographic record

VenueFamily Practice · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCitizen journalismMedical historyFamily medicineWorld Wide WebInternal medicine

Abstract

fetched live from OpenAlex

For this article, I have chosen to follow others and to use the term participatory research (PR) ‘as an umbrella term for a school of approaches that share a core philosophy of inclusivity and of recognizing the value of engaging in the research process (rather than including only as subjects of the research) those who are intended to be the beneficiaries, users, and stakeholders of the research. Among the approaches included within this rubric are community-based participatory research, participatory rural appraisal, empowerment evaluation, participatory action research, community-partnered participatory research, cooperative inquiry, dialectical inquiry, appreciative inquiry, decolonizing methodologies, participatory or democratic evaluation, social reconnaissance, emancipatory research, and forms of action research embracing a participatory philosophy’ (1). PR finds its origins in both social action research and emancipatory philosophy; frequently described as emerging from ‘northern’ and ‘southern traditions’. In the ‘northern tradition’, Kurt Lewin in the 1940s working in both the USA and the UK, proposed a cycle of continuous inquiry, action and evaluation, undertaken with or by—as opposed to on or for—society’s marginalized peoples. Lewin’s action research promoted empowerment and social equity: it ‘needs the best of what the best among us can give and the help of everybody’ (2). This was followed by Argyris (3) and others who expanded these early concepts and applied them to promote organizational efficiency.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
gptMetaresearch
Domain: Methods · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.377
metaresearch head score (Gemma)0.325
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.768

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3770.325
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0050.008
Science and technology studies0.0150.106
Scholarly communication0.0340.058
Open science0.0060.010
Research integrity0.0220.030
Insufficient payload (model declined to judge)0.0100.001

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 head0.963
GPT teacher head0.727
Teacher spread0.235 · 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

Labeled directly by 2 models reading the full record.

Science and technology studiesMetaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designTheoretical or conceptual
DomainMethods
GenreEmpirical · Commentary

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

Citations135
Published2016
Admission routes1
Has abstractno

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