Enhancing the National Security and Intelligence Committee of Parliamentarians
Bibliographic record
Abstract
Prepared as a brief to the House of Commons Standing Committee on Public Safety and National Security, this paper endorses the proposed Canadian National Security and Intelligence Committee of Parliamentarians, but does so with an important caveat. In this last respect, it focuses on constraints imposed by bill C-22 on access by the committee to certain sorts of classified information. It raises concerns that these constraints may limit the effectiveness of the committee. Also contained in this document is annex comparing the proposed bill C-22 committee with analogues in the UK, Australia and New Zealand. The table in the annex includes details on: general features (such as membership and appointment); mandate and jurisdiction; reporting; access to information; and interface with expert review bodies.
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 | 0.201 | 0.300 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.025 | 0.009 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.015 | 0.010 |
| Insufficient payload (model declined to judge) | 0.016 | 0.010 |
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".