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Record W2526670870 · doi:10.7202/1044291ar

La prise de décision d’urgence chez les pompiers premiers répondants : une illustration de la pertinence d’une approche empirique en éthique professionnelle

2018· article· fr· W2526670870 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBioéthiqueOnline · 2018
Typearticle
Languagefr
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsCollège Lionel Groulx
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Lors d’une urgence médicale, l’intervention se doit d’être immédiate. Le temps de délibération est court, voire inexistant. Pourtant, l’intervenant portera la responsabilité de ses décisions et de ses actions. Cette complexité de la décision d’urgence demeure peu étudiée en éthique. Pour contribuer à combler cette lacune, cet article portera sur la prise de décision chez les pompiers premiers répondants. Il présente les données issues de focus groups réalisés auprès de pompiers du Service de Sécurité Incendie de la Ville de Montréal. Dans un premier temps, cet article illustrera la compréhension de la prise de décision d’urgence de ces pompiers premiers répondants. Dans un deuxième temps, il montrera qu’une approche empirique est indispensable à l’éthicien qui s’aventure en caserne : cette approche empirique est révélatrice des confrontations éthiques des pompiers et des moyens mis en place pour neutraliser ces confrontations.

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.

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)0.042
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0420.065
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.006
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0070.018
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.446
Teacher spread0.389 · 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