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Participatory Action Research

2017· other· en· W4240813810 on OpenAlexaff
Jeffrey R. Masuda

Bibliographic record

VenueInternational Encyclopedia of Geography · 2017
Typeother
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsOppressionParticipatory action researchSociologyPoliticsSocial justiceAction researchEmancipationDisciplineCitizen journalismEquity (law)Social sciencePublic relationsPolitical sciencePedagogyLaw

Abstract

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Since the 1970s, participatory action research (PAR) has grown from relative obscurity on the radical fringes of geography to become a central research paradigm adopted by researchers of all disciplinary stripes who share a common interest in improving the relevance and impact of their work in the world. Particularly adept at uncovering the root causes of social and spatial inequalities, researchers using PAR have brought research into the communities in which they work, and have simultaneously opened up elitist and exclusionary research institutions and practices to broader audiences and practitioners. PAR has come to represent a wide spectrum of political philosophies, methodologies, and dissemination practices that place emancipation, equity, and social justice front and center in the practice and objectives of research. Using numerous inspirations from critical social theory, and embracing methodological plurality and creativity, practitioners take on many forms of political oppression and social marginalization as they are encountered in the world.

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)0.118
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1180.113
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0130.017
Scholarly communication0.0130.008
Open science0.0050.020
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0340.007

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 head0.608
GPT teacher head0.660
Teacher spread0.052 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations3
Published2017
Admission routes1
Has abstractyes

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