Bibliographic record
Abstract
Guest: Claire Newell - President/Founder Travel Best BetsU.S. tourism paying the priceCrossing the border: What Canadians need to knowCanadians show growing affinity for AsiaSingapore smashing records, leads booming Southeast AsiaManila route strengthens Air Canada Asia-Pacific networkAfter 33 years Air China will return to Toronto on May 20 First Japanese Fairmont Hotel Set to Open Doors in JulyAir Canada to launch Montreal-Edinburgh flights, adds capacity to Paris, Rome & AthensPorter-Pascan partnership boosts Eastern Canadian connectivityFlair's winter 2025 schedule includes significantly increased domestic routes with more flights between major cities like Vancouver and Calgary, as well as new year-round connectionsPorter points now earn flights on Transat, Alaska AirlinesNew changes to the Air Miles program Canadians should know aboutUndervalued but unstoppable: Why women over 50 are travel's most powerful consumersWestJet Barcelona-bound from Halifax
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.074 | 0.092 |
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; both teacher heads agree on what is shown here.
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".