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Record W2995652363 · doi:10.1093/jhmas/jrz043

Stacie Burke. Building Resistance: Children, Tuberculosis, and the Toronto Sanatorium

2019· article· en· W2995652363 on OpenAlexaffabout
Catherine Carstairs

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsResistance (ecology)TuberculosisQueen (butterfly)MedicineGerontologyHistoryPathology

Abstract

fetched live from OpenAlex

This is an exceptionally well-researched book based on 822 case files of children treated at the Toronto Sanatorium from 1909 to 1950. As a medical and social history of tuberculosis, it is a valuable addition to George Wherett’s The Miracle of the Empty Beds and Katherine McCuaig’s The Weariness, the Fever and the Fret: The Campaign Against Tuberculosis in Canada, 1900-1950. The book is visually rich – there are more than 50 photographs showing children in bed, in school, and in backyard tents. Burke provides a detailed account of the changing treatments for tuberculosis, which in turn had a dramatic effect on the lives...

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.448
Threshold uncertainty score0.902

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0030.003
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0880.023

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 head0.018
GPT teacher head0.224
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes2
Has abstractyes

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