Bibliographic record
Abstract
In the article by Bui and colleagues,1 this cross-sectional study describes what has been happening to the practice of travel health services in Canada over the past decade, but not why. The reasons are probably complex, but can be boiled down to constitutional confusion between provinces and the federal government over public health governance.2 This has put the field of travel medicine into a regulatory purgatory. No level of government feels formally responsible for the health of Canadians travelling internationally. In such a deregulated environment, travel health services are being provided regardless of qualifications and financial conflicts of interest. A recently evolving market-driven vision for travel health services espouses the importance of retail convenience.3 Having taken a back seat, the traditional evidence-based vision espouses travel health services as a vehicle for capacity building to address health threats from overseas as well as protecting individual travellers.4,5 The federal government represented by the Public Health Agency of Canada (PHAC) has a primary responsibility under the International Health Regulations (2005) or IHR to ensure local to national core capacity for detecting and protecting Canadians from international infections. Role confusion among federal, provincial and local health authorities was evident during the management of Ontario’s severe acute respiratory syndrome or SARS outbreak in 2003.6 A review of this poorly coordinated public health response led to recommendations for and the creation of PHAC in 2004 headed by a national Chief Public Health Officer to address future matters of international concern within this widely dispersed country.7
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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.007 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.062 | 0.053 |
| Insufficient payload (model declined to judge) | 0.019 | 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".