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Record W4313352106 · doi:10.4000/osp.16769

Ressources personnelles, sens des études, persévérance et épanouissement : une étude longitudinale implémentant un dispositif pédagogique innovant auprès de jeunes étudiant·es français·es en contexte de COVID-19

2022· article· fr· W4313352106 on OpenAlexaff
Mathilde Moisseron-Baudé, Nadia Baatouche, Kokou A. Atitsogbe, Christian Heslon

Bibliographic record

VenueL’Orientation scolaire et professionnelle · 2022
Typearticle
Languagefr
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Cette recherche explore dans une perspective longitudinale la nature des corrélations, l’évolution des scores moyens ainsi que les interrelations entre les ressources personnelles (adaptabilité de carrière et utilisation des forces psychologiques) et d’autres variables comme le sens des études, la persévérance et l’épanouissement chez les étudiant·es. L’étude est menée dans le cadre de l’implémentation d’une approche d’enseignement réflexive durant la crise sanitaire du COVID-19. L’échantillon comprend soixante étudiant·es issu·es d’une université française. Les analyses corrélationnelles indiquent une conservation de la nature positive des relations entre certaines variables, l’apparition et la disparition de certains effets positifs dans le temps. Alors que le score moyen de sens tend à s’accroître avec le temps, celui de l’épanouissement tend à décroître. Finalement, les interrelations entre les deux ressources et l’épanouissement semblent être prégnantes. La contribution probable du dispositif est discutée.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.372
Teacher spread0.335 · 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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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