A Matter of Urgency: Including Children with Special Needs in Child Care in Canada
Bibliographic record
Abstract
A Matter o f Urgency: Including Children with Special Needs in Child Care in Canada, written by Sharon Hope Irwin, Donna S. Lero, and Kathleen Brophy, presents a compelling case for quality, accessible child care. The goal of this work is stated in the introduction: to develop in depth understanding of the ecology of inclusive child care in Canada and to use that knowledge to promote more effective inclusion on a daily basis. What follows is a thorough analysis of what would constitute quality inclusive daycare and child care and what steps need to be taken to realize that goal. Clear methodology, a thorough literature review, and well stated philosophy provide an excellent overview of the current state of child care in Canada including care for children with special needs. Effective techniques and strategies for including children with special needs are examined from the perspective of the child care staff, centre directors, and travelling resource teachers and resource consultants. The relationship between effective inclusion and high quality child care is explored in this text, which results in the conclusion that the two concepts are inextricably linked. Recommendations are succinct and strong, bringing the reader full circle from the conclusion back to the title, an urgent call for action at a policy level as well as at a community level. It is a disheartening truth that there has been little progress made in child care in thirty years—the authors call this scenario, “a staggering reality.” The book begins by assessing quality daycare in terms of its importance for family health, community health, healthy child development, and family economic well being. It quickly becomes apparent that the current policy unfairly segregates children along socio-economic lines negatively impacting families with children with special needs. The authors state openly that diversity is essential for peace and
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".