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Record W2040053300 · doi:10.1155/2010/387202

Monthly Incidence Rates of Abusive Encounters for Canadian Family Physicians by Patients and Their Families

2010· article· en· W2040053300 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Family Medicine · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicStalking, Cyberstalking, and Harassment
Canadian institutionsUniversity of SaskatchewanUniversity of AlbertaCollege of Family Physicians of CanadaDr. Everett Chalmers Regional HospitalDalhousie University
FundersCanadian Institutes of Health Research
KeywordsIncidence (geometry)Minor (academic)MedicineSuicide preventionFamily memberInjury preventionFamily medicinePoison controlDemographyMedical emergencyLaw

Abstract

fetched live from OpenAlex

Objective. The goal of this study was to examine the monthly incidence rates of abusive encounters for family physicians in Canada. Methods. A 7-page cross-sectional survey. Results. Of the entire study sample (N = 720), 29% of the physicians reported having experienced an abusive event in the last month by a patient or patient family member. Abusive incidents were classified as minor, major, or severe. Of the physician participants who reported having been abused, all reported having experienced a minor event, 26% a major, and 8% a severe event. Of the physicians who experienced an abusive event, 55% were not aware of any policies to protect them, 76% did not seek help, and 64% did not report the abusive event. Conclusion. Family physicians are subjected to significant amounts of abuse in their day-to-day practices. Few physicians are aware of workplace policies that could protect them, and fewer report abusive encounters. Physicians would benefit from increased awareness of institutional policies that can protect them against abusive patients and their families and from the development of a national policy.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.960

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 studies0.0000.001
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 head0.019
GPT teacher head0.323
Teacher spread0.304 · 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