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Record W1487259834 · doi:10.1007/bf03405783

Travel counsellors and travel health advice.

2004· article· en· W1487259834 on OpenAlexaffabout
Caroline D. McAllister, Margaret L. Russell

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceHumanitiesMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Travel Counsellors may be a source of health advice to travellers and might influence travellers' decisions to seek consultation from health professionals. We examined the travel health advice that Alberta travel counsellors currently provide their clients and assessed their health knowledge and practices. METHODS: Cross-sectional postal survey of travel counsellors who book international trips identified from a random sample of Alberta travel agencies in 2000. RESULTS: The response rate was 54.4%. Over 80% of respondents routinely provide clients with general health advice, and approximately 70% advise on malaria risk and vaccines required for travel. The risk of malaria was correctly identified by 72% of the respondents who frequently book clients to malarious destinations. Most respondents (79%) thought they should be involved in promoting the health of international travellers. Their preference was to provide health advice to their clients (90%) rather than refer them to a health professional (67%). CONCLUSIONS: A large proportion of Alberta travel counsellors provided travel-related health advice to clients. Their preferred role of counselling rather than referring conflicts with the recommendations of the International Society of Travel Medicine.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.277
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2004
Admission routes2
Has abstractyes

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