Behavioral disorders : theory into practice : a reflective journey of a B.E.S.T. teacher
Bibliographic record
Abstract
Children with behavioural difficulties have been an ever-present factor in schools.In the fall of2001, Foothills School Division in rural Alberta recognized a need for increased programming for students with these behavioural difficulties.A third elementary program that was inclusionary in nature began.This project reflected on the implementation of a behavioural program.Field notes and teacher joumaling formed the basis for the analysis and interpretation of the program.The teacher as a participant observer allowed for a unique perspective that reflected but also guided the dynamic, interactive elements of this program.The reflective study concluded that inclusion must be looked at individually; direct one-to-one instruction in reading, appropriate social skills training and opportunities for transference, and parental and agency support was an appropriate way to support students with behavioural disorders in schools.The research also concluded that the process of change for these children is slow and that the earlier the intervention begins, the greater the potential for success.The study supported earlier vesearch done that said it must always be recognized that each child is an individual and that not one way will work for all.vi
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 | 0.033 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.016 |
| Insufficient payload (model declined to judge) | 0.001 | 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".