NEWS FROM HOME: M E MEDIA NEEDS OF CANADIANS IN THE U.S.A.
Bibliographic record
Abstract
Le nombre de citoyena canadiens voyageant e t s t instal lant aux Etats-Unis, ddpasse tous l e s re-cords. Cependant leurs habitudes a 1tQgard des media sont peu connues, notamment leurs besoins e t leurs sources de nouvelles enprovenance de leur patr ie. Cette enquete nationale a dtabli que l e e canadiens vivant aux Etata-Unis eprouvent 1 ' envie e t le besoin de trouver des informations canadien-nes dans l a presee amdricaine. Canadian citizens are relocating in large numbers in the United States. By the end of 1979, nearly 300,000 Canadians were listed under the a 1 ien reg istry program of the U S. Imnigration and Naturalization Service (INS). The nunber has been increasing at a rate of about 15,000 per year (INS, 1980, 83). Vacation travel by Canadians to the U.S.A. is also on the rise. The Canadian Off ice of Tourism reports a steady increase in vacation travel to American locations, despite a recent economic recession. In 1980, nearly three-mil 1 ion Canadians went to the U.S.A. on holidays, most heading to southern and western states (Off ice of Tourism, 1981, Little is known about the members of the Canadian population in the United States-- particularly their desire for and sources of home news while south of the border. Such information would be useful to a nunber of organizations. In some markets, including Phoenix, Arizona and Palm Beach, Florida, Canadians reside in sufficient numbers to Constitute a valuable often unmeasured "bonus " audience for American broadcasters and cablecasters. They also represent an attractive sub-
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".