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Record W2460340023

Global health initiatives and electives: a survey of interest among Canadian otolaryngology residents.

2011· article· en· W2460340023 on OpenAlexaffabout
Hedyeh Javidnia, Laurie McLean

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsOtorhinolaryngologyDemographicsContext (archaeology)Special Interest GroupGlobal healthMedical educationPolitical scienceMedicinePublic relationsPublic healthNursingGeographySociology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the level of interest among Canadian otolaryngology residents in global health initiatives (GHIs) and international health electives (IHEs) and the barriers to participation in such initiatives. METHODS: A Web-based survey was developed and sent to all Canadian otolaryngology residents. Questions were posed on demographics, the level of interest in GHIs and IHEs, past experiences in this field, real and perceived barriers in pursuing GHIs and IHEs, previous global health experience, and, finally, the current infrastructure that exists in Canadian postsecondary institutions and otolaryngology programs to encourage participation. RESULTS: The level of interest among Canadian otolaryngology residents in GHIs and IHEs is at least 32%. The greatest barriers to pursuing this interest are cost, lack of infrastructure, lack of mentors, and lack of elective time. To contribute to an important cause was the top reason (79%) cited by respondents for their interest in global health. This was followed by personal growth and to learn about medicine in low- and middle-income countries, respectively. CONCLUSION: At least 32% of Canadian otolaryngology residents showed interest in participating in a GHI or IHE. We must devise means of overcoming barriers to participation in GHIs and IHEs and facilitate the clear and substantial resident interest in GHIs and IHEs. By supporting these endeavours, we will expose a cross section of physicians to global issues and give them an important and meaningful context in our increasingly interconnected world.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.096
GPT teacher head0.311
Teacher spread0.214 · 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

Citations9
Published2011
Admission routes2
Has abstractyes

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