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Record W2906734739 · doi:10.15694/mep.2019.000003.1

An Epidemic of Incompetence: A Critical Review of Addictions Curriculum in Canadian Residency Programs

2019· review· en· W2906734739 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMedEdPublish · 2019
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsAddictionCurriculumAddiction medicineOpioid epidemicMedical educationSAFERMedicinePsychologyPsychiatryOpioidPedagogy

Abstract

fetched live from OpenAlex

This article was migrated. The article was marked as recommended. In Canada and the United States, the rising number of apparent opioid-related deaths have given to the aptly-named opioid epidemic. Despite the criticism physicians have received for their role in opioid overprescribing, physicians may very well be in the position to vanquish the opioid epidemic. While the importance of the importance of Addictions training in psychiatry and other disciplines has been recognized in Canada at a national level, training resources are scarce and difficult to implement, even when delivered in online formats. Many have speculated that the delivery of high-quality Addictions training has been hampered by multiple roadblocks endemic to the Canadian medical education system, particularly stigma towards individuals with substance use disorders. In navigating the winds of change in the Competency-Based Medical Education (CBME) era, it remains unclear how Addictions will be embraced. To date, there are no defined addictions competencies in the Canadian CBME infrastructure, despite the critical findings of the Association of Faculties of Medicine report in 2017, which was generated in response to the opioid epidemic. Despite these challenges, those who struggle with addiction can lead full, happy, productive lives if they have the right resources. With time, we can only hope that the increasing visibility of addiction will translate to improved training and curricula for the next generation of physicians.

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)0.003
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.448
Teacher spread0.378 · 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