(The Report of the Mackenzie Valley Pipeline Inquiry, 1977)
Bibliographic record
Abstract
There are two distinct views of the North: one as frontier, the other as homeland. (Berger, 1977) We think of ourselves as a northern people. We may at last have begun to realize that we have something to learn from the people who for centuries have lived in the North….This Inquiry has given all Canadians an opportunity to listen to the voices on the frontier. (Berger, 1977) What happens in the North…will be of great importance to the future of our country; it will tell us what kind of a country Canada is; it will tell us what kind of a people we are. (Berger, 1977) I fell in love with Northern Canada in the summer of 1965, when I spent the summer working for the federal Department of Mines on the east coast of Baffin Island, a spectacular land of fjords and mountains. I returned to the North in the summer of 1967 when, as a student working for the Department of Indian Affairs, I was assigned, along with another wet-behind-the-years town planning student, the impossible task of drawing
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 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".