Introduction—Case by Case: Private and Public Representations of Patients in the Grenfell Mission in Newfoundland and Labrador in the Early 20<sup>th</sup>Century
Bibliographic record
Abstract
-century medical cases in the geographically distributed humanitarian aid organization founded by Wilfred Grenfell in pre-Confederation Newfoundland and Labrador. It situates these studies within historiographical and theoretical approaches to case histories and their publication by medical practitioners, the background for research on the clinical records of the Grenfell organization's main hospital, and the history behind specific case information for coastal patients. While the cases examined cohere through their organizational origin, the authors of these three studies reveal sometimes unexpected representations of the patient in text and illustration. In these ways, both this introductory article and the following three studies emphasize the enduring appeal of narrative approaches to case writing while also pointing to the evolving ethics of publishing medical reports for general readers and scholars. Together they invite renewed attention to the representation of medical cases in publications that increasingly are available globally in internet collections.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".