The diary of an operational stress injury clinic psychiatrist during the COVID-19 pandemic
Bibliographic record
Abstract
OF A PANDEMIC How quickly things have changed.In January 2020, COVID-19 was considered a distant problem, primarily for a region in China.Th ere was a consensus among Canadians; it was not necessarily worse than the seasonal fl u and it primarily impacted only those travelling to aff ected regions.By February, COVID-19 had spread to Italy, but still, in Canada, it was viewed as an outlier and, for the most part, our lives were unaff ected.Th e federal and provincial governments considered the risk of an outbreak in the community very low.Only a few short weeks later, however, things changed dramatically.Within two days of my return from Hawaii, on March 11, 2020, the World Health Organization (WHO) declared COVID-19 a pandemic.1 Initially, a 14-day self-isolation period was recommended for travellers returning to Canada from other countries.If you were asymptomatic as a health care provider; however, it was recommended you attend work, self-monitor symptoms, and only self-isolate if you became symptomatic.Th is directive quickly changed to self-isolation and remote work for everyone, regardless of symptoms, unless you were required to be physically present at your place of employment.As a result, I had a head start on working remotely from home.Th en, everything changed again.Social distancing measures were enacted by provinces and municipalities.Schools closed and academic and university programs moved online.Some provinces passed emergency measures acts and ordered all but essential businesses closed in an eff ort to slow the spread of COVID-19.Following the Ontario Ministry of Health's directive, hospitals were directed to move to essential services in order to prepare for a potential surge in COVID-19 patients.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".