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Record W3130132834 · doi:10.7202/1075112ar

BUILDING TOGETHER

2021· article· en· W3130132834 on OpenAlexvenueaboutno aff
Óscar Labra, Gabriel Gingras Lacroix, Augustin Ependa, Sylvie Isabelle, Juan Pablo Bedoya Mejia, Gilles Tremblay, Marie-Ève Giroux, Alexandre Viau, Mélanie Beaucage, Dominic Bizot, Ray Bustinza, Tommy Cousineau

Bibliographic record

VenueCanadian social work review · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsParticipatory action researchCitizen journalismSociologyProcess (computing)Community-based participatory researchCollective actionPolitical scienceReflection (computer programming)Human immunodeficiency virus (HIV)Action researchPublic relationsMedicinePoliticsPedagogyComputer scienceFamily medicine

Abstract

fetched live from OpenAlex

The objective of the article is to underline the importance of community-based participatory research, which involves institutional researchers and community practitioners, in establishing local and regional research priorities in relation to HIV/AIDS. We describe an 11-month-long reflection process conducted by a research collective in the Abitibi-Témiscamingue region of northern Quebec. The significant results of the joint reflection and discussion process included: the development of local capacities for research and collective action, involving academics and practitioners; the valorization of participatory research; and the increased accessibility of research-based knowledge for community actors involved in the fight against HIV/AIDS. In contrast with more traditional research methods, the participatory approach situates the balance of power within a research collective that jointly determines, throughout the course of the project, the priorities that best reflect local needs for HIV/AIDS research. This initial process of discussion resulted also in the joint validation of a forthcoming grant application to be submitted to the Canadian Institutes of Health Research (CIHR).

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0170.005
Scholarly communication0.0100.006
Open science0.0030.018
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.1900.071

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 head0.258
GPT teacher head0.464
Teacher spread0.205 · 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 designNot applicable
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 routes2
Has abstractyes

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