MétaCan
Menu
Back to cohort
Record W2762135490 · doi:10.7202/1022866ar

Entraînement pour le personnel de carrière industrielle

2014· article· fr· W2762135490 on OpenAlexvenueaboutno aff
Fergus Barrett

Bibliographic record

VenueRelations industrielles · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicInformation Technology and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyArt

Abstract

fetched live from OpenAlex

L'entraînement du nouveau personnel de gérance qui entre au service d'une corporation moderne constitue une part importante pour assurer la stabilité et la vitalité à toute entreprise. Le programme d'entraînement ou de perfectionnement a pour but de développer et d'approfondir son sens administratif, à cause de l'aspect technique et administratif que comporte son travail. Ce dernier aspect du travail suscite des problèmes concernant les facteurs humains et sociaux et nécessite beaucoup de compréhension. L'Aluminum Company of Canada ayant compris cette exigence a établi un système d'entraînement en deux phases: l'une dite d'extérieur et l'autre d'école. C'est ce programme que l'auteur présente dans cet article en expliquant son fonctionnement et les résultats apportés.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.020
GPT teacher head0.250
Teacher spread0.230 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueRelations industriellesSame topicInformation Technology and LearningFrench-language works237,207