Bibliographic record
Abstract
On Being a Doctor16 June 2020Vicarious Trauma: The Hazard and Joy of Caring for RefugeesGabriel E. Fabreau, MD, MPHGabriel E. Fabreau, MD, MPHUniversity of Calgary, Calgary, Alberta, Canada (G.E.F.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M20-0151 Audio Reading - “Vicarious Trauma: The Hazard and Joy of Caring for Refugees” Audio. Michael A. Lacombe, MD, Annals Associate Editor, reads “Vicarious Trauma: The Hazard and Joy of Caring for Refugees” by Gabriel E. Fabreau, MD, MPH Your browser does not support the audio element. Audio player progress bar Step backward in current audio track Play current audio trackPause current audio track Step forward in current audio track Mute current audio trackUnmute current audio track 00:00/ SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail I knew I was in trouble when I found myself crying inexplicably at a stoplight or in the hospital on teaching rounds. The chilling stories from refugees prompted ever more hideous nightmares. Most troubling, the optimism that had fueled my passion for refugee health was becoming eclipsed by a disillusionment with humanity.“Why do we try so hard to help people heal and recover when humans themselves are capable of such cruelty?” I wondered.At the Mosaic Refugee Health Clinic—a specialized, multidisciplinary clinic that cares for recently arrived refugees and asylum seekers in Calgary—there is a look I have seen ... Author, Article, and Disclosure InformationAffiliations: University of Calgary, Calgary, Alberta, Canada (G.E.F.)Corresponding Author: Gabriel Fabreau, MD, MPH, TRW 3E28, 3280 Hospital Drive NW, Calgary, AB T2T4Z6, Canada; e-mail, [email protected]ca. PreviousarticleNextarticle Advertisement Audio Reading - “Vicarious Trauma: The Hazard and Joy of Caring for Refugees” Audio. Michael A. Lacombe, MD, Annals Associate Editor, reads “Vicarious Trauma: The Hazard and Joy of Caring for Refugees” by Gabriel E. Fabreau, MD, MPH Your browser does not support the audio element. Audio player progress bar Step backward in current audio track Play current audio trackPause current audio track Step forward in current audio track Mute current audio trackUnmute current audio track 00:00/ FiguresReferencesRelatedDetails Metrics 16 June 2020Volume 172, Issue 12Page: 830-831KeywordsEmotionsFatigueFearGratitudeHealth care providersMemoryNauseaRefugee healthSafetySuicide ePublished: 16 June 2020 Issue Published: 16 June 2020 Copyright & PermissionsCopyright © 2020 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.040 | 0.009 |
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".