Swimming Up Niagara Falls! The Battle to Get Disability Rights Added to the Canadian Charter of Rights and Freedoms
Bibliographic record
Abstract
This is the personal memoir of blind lawyer and volunteer disability rights advocate David Lepofsky. It describes his involvement in and perspectives on the successful fight from 1980 to 1982 to get Canada’s proposed Charter of Rights amended to guarantee equal rights for people with disabilities. It includes a foreword by the Hon. Rosalie Abella, former Justice of the Supreme Court of Canada. This memoir recounts the little-known saga of the disability amendment to the Charter. Few know that equality for people with disabilities was the only constitutional right added to the Canadian Charter of Rights and Freedoms during the widely publicized eighteen-month battle over the patriation of Canada’s Constitution, from October 1980 to April 1982. It is aimed at anyone interested in disability rights, human rights, Canadian political or legal history, social justice advocacy, and Canadian constitutional law. It provides a mix of legal and legislative history, personal autobiography, grassroots advocacy strategy and reflective commentary on lessons learned. It compares social justice advocacy techniques in 1980 to those practiced in the disability rights arena four decades later.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 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".