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Record W4410856653 · doi:10.3138/cjhh.703-062024

“The Massacre of the Tonsil”: Tonsillectomies and Medical Malpractice in Mid-20<sup>th</sup>-Century Canada

2025· article· en· W4410856653 on OpenAlexaboutno aff
Richard B. Brown

Bibliographic record

VenueCanadian Journal of Health History · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsTonsillectomyMalpracticePlaintiffBlameTortCompensation (psychology)Medical malpracticeMedicineLawHealth careFamily medicineSurgeryPolitical sciencePsychologyPsychiatryLiability

Abstract

fetched live from OpenAlex

Tonsillectomy was one of the most common surgeries in Canada in the mid-twentieth century. Tonsils received blame for many health problems, and advocates of the tonsillectomy said it was an important form of preventative medicine. However, like all surgeries, the procedure came with dangers. Only a small percentage of patients - most of whom were children - suffered injuries or died, but the large number of tonsillectomies meant that a substantial number of people experienced adverse outcomes. Plaintiffs who sued for medical malpractice faced a tort law system that made it extremely difficult to secure compensation. So long as the procedure was carried out with an ordinary level of skill and care, no compensation was typically available. This paper shows how Canadian law facilitated the use of tonsillectomy, and, in doing so, highlights the need to consider the role of judge-made law in the history of medicine.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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