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Record W3021200787 · doi:10.4000/osp.11841

Le codéveloppement professionnel en orientation : et si nous apprenions en échangeant sur notre pratique ?

2020· article· fr· W3021200787 on OpenAlexaffabout
Sylvie Franz, Bruno Bourassa, France Picard, Louis Staffoni, Jonas Masdonati

Bibliographic record

VenueL’Orientation scolaire et professionnelle · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans un contexte où les psychologues de l’orientation font face à des problèmes de plus en plus complexes et variés, le codéveloppement professionnel est un dispositif d’analyse des pratiques qui peut contribuer à renforcer leur pouvoir d’agir. L’article est une illustration d’une démarche de codéveloppement professionnel mise en place en Suisse dans le cadre d’une formation postgrade en ressources humaines et orientation. Dans une première partie, nous décrivons la notion de codéveloppement, le cadre général et les objectifs de cette sorte d’intervention, ainsi que son application auprès de conseillers et conseillères en orientation au Québec. Dans une seconde partie, nous présentons et illustrons par une étude de cas les huit étapes ayant caractérisé la mise en place de cette intervention dans le contexte suisse. Le récit de pratique émergeant de cette illustration est enfin analysé et discuté.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.182
GPT teacher head0.447
Teacher spread0.265 · 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
Published2020
Admission routes2
Has abstractyes

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