Book Reviews / Compte Rendus: Pathways to Inclusion: Building a New Story with People and Communities
Bibliographic record
Abstract
With Pathways to Inclusion: Building a New Story with People and Communities, John Lord and Peggy Hutchison summarize over a quarter century of their experience, research, and thought on the ways to overcome the debilitating, demoralizing, and dehumanizing effects of marginalization and exclusion of people with disabilities or other vulnerabilities.Their interests lie in innovations that spring from collaborative community-based work involving people directly affected by social exclusion, and that aim to promote greater community participation and civic engagement.Much of this research and thought was produced at the Centre for Research and Education in Human Services in Kitchener Ontario (CREHS; recently renamed the Centre for Community-Based Research), cofounded by Lord, Hutchison, and others in 1982, and which Lord led for more than a decade.Their experiences, both personal and professional, have inspired what they characterize as a New Story "about possibilities, participation, and inclusion within a social justice framework" (p.xii).
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.011 |
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".