Bibliographic record
Abstract
As Canada's federal police service celebrates its 150th anniversary, the past and future of the Royal Canadian Mounted Police/Gendarmerie royale du Canada (RCMP/GRC) is coming under intense scrutiny. Dogged by historical legacies and endemic external and internal controversies, this national police service with military characteristics serves the Canadian state loyally and professionally. The anachronistic connection with horses in the English name has long outlived its usefulness and it is time that Canada's federal police service embraced more French, greater inclusivity in the ranks, better accountability and a functional approach to provision of national security policing at higher levels. A new refresh requires rebranding into a truly effective gendarmerie adequately manned, trained and equipped for the task, already anticipated in the French name. Refocusing on federal roles at the national level without the distraction of contract policing would give the RCMP/GRC greater purpose and coherence. The aligned symmetry of a Royal Canadian Gendarmerie/Gendarmerie royale du Canada (RCG/GRC) provides a basis for necessary change to happen and reconciliation to begin.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.062 | 0.016 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.012 | 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".