L’histoire de l’inclusion scolaire au Nouveau-Brunswick : l’engagement phare d’une communauté autour de réalisations, de défis et de temps d’arrêt; The Story of Inclusive Education in New Brunswick : A Community’s Flagship Commitment of Achievements, Cha
Bibliographic record
Abstract
Cette etude documentaire presente les principaux evenements qui ont marque l’histoire de l’inclusion scolaire au Nouveau-Brunswick reconnu, sur la scene nationale et internationale, comme un chef de file de la mise en œuvre du mouvement pour des ecoles plus inclusives (Vienneau, 2004; Mackay, 2006). Pour ce faire, des documents d’orientation publies sur la scene internationale, nationale et provinciale et des textes de loi adoptes par le Gouvernement du Nouveau-Brunswick sont mis en relation. L’analyse de ces sources d’information a permis d’etablir qu’au Nouveau-Brunswick, les mouvements de l’integration scolaire (de 1960 a 1990) et de l’inclusion scolaire (de 1990 a aujourd’hui) sont portes par l’engagement phare d’une communaute qui chemine autour de realisations marquantes, de defis importants et de frequents temps d’arret. Des temps d’arret pour prendre un recul et reflechir ensemble aux moyens de consolider l’inclusion qui decoule d’un engagement phare nourri d’une ferme croyance dans les bienfaits et la valeur de cette inclusion.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.019 | 0.027 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".