US-Canada Relations: Bridging the Common Border
Bibliographic record
Abstract
This special Bibliography Series, Number 105, "US-Canada Relations: Bridging the Common Border," was developed by Social Sciences Bibliographer and Reference Librarian Frances K. Scott in support of the 48th annual Academy Assembly to be held at the Air Force Academy, 7-10 February 2006. Each year, beginning in 1959, the Air Force Academy sponsors the Academy Assembly as a forum for college students to discuss contemporary public issues. In support of that effort, the McDermott Library develops a bibliography of books and journal articles focusing on the current year's topic. In order to help participants have a common basis for the discussions, a new section is added this year, "Assembly Director's Picks," which provides a highly selected list of books and articles that each participant may wish to review prior to attending the Assembly. The call number listed at the end of each citation is typically the call number assigned by the Library of Congress, which most libraries use when adding books to their collections.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.021 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".