Bibliographic record
Abstract
On September 6, 1995, Dudley George was shot by Ontario Provincial Police officer Kenneth Deane. He died shortly after midnight the next day. George had been participating in a protest over land claims in Ipperwash Provincial Park, which had been expropriated from the native Ojibwe after the Second World War. A confrontation erupted between members of the Stoney Point and Kettle Point Bands and officers of the OPP’s Emergency Response Team, which had been instructed to use necessary force to disband the protest by Premier Mike Harris’s government. George’s death and the grievous mishandling of the protest led to the 2007 Ipperwash Inquiry.Edward J. Hedican’s Ipperwash provides an incisive examination of protest and dissent within the context of land claims disputes and Aboriginal rights. Hedican investigates how racism and government practices have affected Aboriginal resistance to policies, especially those that have resulted in the loss of Aboriginal lands and led to persistent socio-economic problems in Native communities. He offers a number of specific solutions and policy recommendations on how Aboriginal protests can be resolved using mediation and dispute management – instead of the coercive force used in Ipperwash Park that ultimately gave this tragic story such infamy
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.050 | 0.019 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".