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Record W3157860018 · doi:10.7202/1076536ar

L’entretien en tant qu’interaction : qu’en est-il du chercheur?

2021· article· fr· W3157860018 on OpenAlex
Karine St-Denis

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.

Bibliographic record

VenueEnjeux et société Approches transdisciplinaires · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Mener des projets de recherche auprès d’intervenants d’urgence aux vécus professionnels souffrants demande empathie et respect de la part des chercheurs, et ce, d’autant plus lors des entretiens de recherche. Cet article rend compte des réflexions de deux chercheurs sur la nature, les limites et les conséquences de cette interaction. À partir de nos vécus de recherche auprès de pompiers, d’ambulanciers-paramédics et de travailleurs sociaux, nous montrerons, premièrement, que l’entretien est une interaction qui demande d’être à l’écoute des rites d’interaction et des marqueurs de fragilisation de la présentation de soi des participants. Deuxièmement, nous nous intéresserons aux conséquences, pour le chercheur, de cette exposition répétée à la souffrance d’autrui lors des entretiens, de la retranscription, et de l’analyse. Nous conclurons par la présentation d’outils interdisciplinaires que nous avons utilisés, au mieux, pour nommer, baliser et diminuer les impacts de ces interactions d’entretien parfois fort prenantes et humainement difficiles.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.418
Teacher spread0.364 · 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