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Record W2913333618 · doi:10.1522/radm.no1.916

Les dangers liés à l’instrumentalisation de la pleine conscience

2018· article· fr· W2913333618 on OpenAlexaffvenue
Dominique Steiler, Cyril Tarquinio, Simon Grégoire, Lionel Strub, Ilios Kotsou

Bibliographic record

VenueAd machina l avenir de l humain au travail · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesConsciencePolitical sciencePhilosophySociologyLaw

Abstract

fetched live from OpenAlex

Au cours des dernières années, bon nombre d’interventions ont été implantées dans les organisations afin d’aider les employés à cultiver leur pleine conscience. Dans cet article, nous mettons en lumière les dangers liés à l’instrumentalisation de la pleine conscience en milieu de travail et déplorons le fait que les interventions soient souvent mises en place, non pas pour favoriser l’épanouissement et la qualité de vie des employés, mais plutôt pour optimiser le rendement et la motivation de ces derniers. Nous proposons également certaines pistes d’intervention afin que ces interventions prometteuses soient enseignées dans les organisations de manière plus conséquentes avec leurs objectifs.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.040
GPT teacher head0.358
Teacher spread0.318 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2018
Admission routes2
Has abstractyes

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