MétaCan
Menu
Back to cohort
Record W2015629507 · doi:10.7202/045027ar

Participation à une recherche en situation de deuil

2010· article· fr· W2015629507 on OpenAlexaffvenue
Marilou Parser, Monique Séguin

Bibliographic record

VenueFrontières · 2010
Typearticle
Languagefr
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsMcGill UniversityUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPsychologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Si des études ont mesuré la satisfaction des individus ayant participé à une recherche, peu d’entre elles se sont penchées sur la satisfaction des individus plusieurs mois après leur participation à une recherche. L’étude actuelle a pour but de comparer la satisfaction de deux groupes de personnes ayant participé à une recherche alors qu’elles étaient en situation de vulnérabilité. Un groupe de 20 personnes endeuillées après un suicide ont été interviewées immédiatement après le processus de recherche, et 20 personnes, également endeuillées après un suicide, ont été questionnées une année après leur participation à une recherche scientifique. Les résultats des deux groupes sont semblables et démontrent un haut niveau de satisfaction. Tous les participants accepteraient de recommencer l’expérience et recommanderaient à d’autres personnes endeuillées de participer à une telle étude. Ainsi, les recherches qui sollicitent la participation d’individus endeuillés après un suicide peuvent être bénéfiques pour les participants et respecter toutes les normes éthiques quant à la validité du consentement.

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)0.033
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.066
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0250.005

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 head0.119
GPT teacher head0.430
Teacher spread0.311 · 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 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
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueFrontièresSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207