Bibliographic record
Abstract
On 11 June 2008, Prime Minister Stephen Harper issued an historic apology to former students of Indian residential schools. While the Prime Minister should certainly be commended for his role in addressing this dark “chapter” in Canadian history, we must not forget that the apology was part of a larger settlement addressing Indian residential schools. In his remarks offered on behalf of “all Canadians,” Prime Minister Harper apologized for the physical, sexual, and emotional abuse suffered by former students and for the intergenerational effects caused by a policy of assimilation. The words spoken by the Prime Minister that day continue to resonate with profound and emotional cadences. Invoking the language of “healing” and “reconciliation,” the Prime Minister called for a “new beginning” based upon knowledge of “our shared history.” For many Indigenous people, however, the words spoken in the apology do not accurately represent their experience with colonialism and Canada’s history as a settler society. The narrative of the Canadian nation offered by the Prime Minister is one that selectively omits a history of genocide, territorial dispossession, cultural destruction, and regime replacement in favour of a rendering of history which represents Canada as a primarily British settler society – one whose past includes a discreet chapter containing the consequences of policies with “lasting and damaging impacts.” In his admiration for Canada as a British settler society, the Prime Minister continually forgets that Canada is itself a settler society, allowing him to view residential schools as an isolated event. In his remarks at a press conference during a meeting of the G20 in Pittsburgh in 2009, the Prime Minister said the following about the history of Canada:
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.131 | 0.036 |
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".