MétaCan
Menu
Back to cohort

L’expérience de la thèse en management

2023· book-chapter· fr· W4393243117 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.

Bibliographic record

VenueEMS Editions eBooks · 2023
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Ce chapitre vise à considérer la valorisation de la recherche doctorale et dans la recherche doctorale comme une étape majeure, et pourtant sous-estimée. En nous appuyant sur des expériences, qu’elles soient personnelles ou non, nous proposons une vision de ce concept de valorisation, que nous positionnons comme intrinsèquement liée à la question de l’impact, ou plus exactement des différentes formes d’impact. Nous proposons de considérer la valorisation comme un ensemble d’écosystèmes, duquel il nous semble nécessaire de se saisir, et ce dès le parcours doctoral, dans une logique de conquête prudente et progressive des différents espaces (académique, médiatique, voire politique). Enfin, nous ouvrons cette réflexion avec un regard sur les défis de la mesure de toutes les formes d’impact, parmi lesquelles l’impact académique, mais aussi l’impact managérial. Ce travail s’achève sur quelques conseils à l’usage des doctorants qui souhaitent valoriser le fruit de leur recherche doctorale.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.148
GPT teacher head0.425
Teacher spread0.278 · 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