Commentary: Reflections on a Career Devoted to the Integration of Handicapped Children
Bibliographic record
Abstract
In this interview, retired educator Karen Hulme recounts how her interest in working with disabled children began at age six, a passion that led her to become a camp counsellor in her late teens at the School for Crippled Children. Next, she discusses her 42-year career at the Mackay Centre School, and some of the early initiatives that were in place to not only help integrate handicapped children into regular schools, but also introduce regular kids into the Mackay Centre—a process called "reverse integration." She talks about the "Circle of Friends," a school program that promotes social interactions, facilitates awareness, and breaks down barriers between students with and without disabilities. Lastly, she discusses the importance of educators in leadership positions to "… know who these kids are, what their needs are, and what their parents’ needs are …"
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 | 0.016 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.056 | 0.110 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".