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Record W2602448237

Staging the Role of Identification, Placement, and Review Committees (IPRC) for Children with Special Needs in French Ontario

2006· article· en· W2602448237 on OpenAlexaboutno aff
Nathalie Bélanger, Kehra Taleb

Bibliographic record

VenueEducation et sociétés · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)FrenchNegotiationSpecial needsSocial needsSpecial educationPublic relationsSociologyMedical educationPsychologyPolitical sciencePedagogySocial scienceMedicineLinguisticsLaw
DOInot available

Abstract

fetched live from OpenAlex

Résumé Cet article traite du signalement de l'enfance en difficulté dans les écoles minoritaires de langue française en Ontario (Canada). À partir de données provenant du projet de recherche ?Trajectoires sociales et scolaires d?élèves en difficulté à l'école primaire de langue française en Ontario? (mené entre 2000 et 2003), il s?agit, en particulier, de comprendre le fonctionnement des comités d?identification, de placement et de révision (CIPR) qui réunissent des membres du personnel de l'école et des parents. Une méthodologie exploitant des données d?observation et des entretiens permet de mettre en évidence les débats, les discussions et les négociations entourant le signalement des élèves considérés comme étant en difficulté. Cette méthodologie privilégie une compréhension de l'activité humaine qui tient compte de la complexité des interactions sociales. Le cas d?un signalement d?un élève est présenté sous forme de mise en scène.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.633

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0140.006
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0020.001
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 head0.038
GPT teacher head0.418
Teacher spread0.380 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2006
Admission routes1
Has abstractyes

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