Cabinet Conclusions, 1944 to 1979
Bibliographic record
Abstract
The Cabinet Conclusions dataset is based on the public record of the meetings of the Cabinet, which consists of advisors to the Prime Minister of Canada. Also known as Cabinet minutes, Cabinet Conclusions, 1944 to 1979 includes agendas, lists of attendees and summaries of discussions. Library and Archives Canada’s Cabinet Conclusions content has been selectively augmented to demonstrate the potential of data linking by combining them with other resources. This includes the Orders in Council Division of the federal government’s Guide to Canadian Ministries since Confederation and selected MIKAN records. This dataset is the product of a partnership between LINCS and LAC. It combines multiple LAC resources to showcase how the value of online LAC collections can be enhanced using Linked Open Data. LINCS would welcome the involvement of subject-matter experts interested in exploring and potentially refining or augmenting this data. Creators and Contributors Library and Archives Canada Julia Barkhouse, Erin Isaac, Stephanie Pettigrew, Mathieu Sabourin Linked Infrastructure for Networked Cultural Scholarship (LINCS) Susan Brown, Natalie Hervieux, Dani Metilli, Alliyya Mo, Sarah Roger, Zachary Schoenberger Support The Cabinet Conclusions dataset was made possible thanks to the generous support of Library and Archives Canada, the Canada Foundation for Innovation, and the Social Sciences and Humanities Research Council 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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.017 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.097 | 0.094 |
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".