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Record W1550260001 · doi:10.7202/017798ar

Sentiment de non-reconnaissance au travail, déception et burnout : une exploration qualitative

2008· article· fr· W1550260001 on OpenAlexvenueno aff
Lionel Daloz, Marie-Laure Balas, Hervé Bénony

Bibliographic record

VenueSanté mentale au Québec · 2008
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyBurnoutHumanitiesArtClinical psychology

Abstract

fetched live from OpenAlex

The feeling of not being acknowledged at work, though frequently reported, is rarely addressed in itself. As the reflection of a subjective position that is as much existential as it is institutional or professional, it emerges through the monitoring of a hospital-based closed discussion group for a period of six years as a screen masking more personal dimensions that are anything but clear to the subjects and rarely thought about in themselves. This leads us to question the system of representations adopted by caregivers and their ability to be satisfied. It imbues the speech of people with burnout syndrome with a tone of profound disappointment and translates a feeling of uselessness, of professional expectations that were probably too high to be satisfied. In effect, it disrupts subjects' relationship to their work, to their professional environment and even to their patients. It consequently deserves to be listened to more attentively.

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)0.019
metaresearch head score (Gemma)0.017
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 score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0080.012
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.090
GPT teacher head0.427
Teacher spread0.337 · 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

Citations12
Published2008
Admission routes1
Has abstractyes

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