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Record W4385528533 · doi:10.1515/9780773598645

The General

2016· book· en· W4385528533 on OpenAlexaboutno aff
Joseph Hanaway, John H. Burgess

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2016
Typebook
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

Officially founded in 1819, the Montreal General Hospital is recognized as a pioneering institution in North America for the many discoveries in medical research made there and for its early association with the Faculty of Medicine at McGill University - the first medical school in Canada. Covering nearly 200 years of history, The General relates the story of the hospital from its origins and founding to the transition and aftermath of its incorporation into the McGill University Health Centre in 1997. With contributions that show the perspectives of clinicians, nurses, surgeons, professors, and administrators, chapters chronicle the history of particular departments and specializations of the hospital, including cardiology, dermatology, endocrinology, neurosurgery, plastic surgery, obstetrics, emergency medicine, pathology, and radiology, as well as nursing, administration, and governance. Among the major turning points in the history of the hospital were the introduction of autopsy pathology by Sir William Osler, the debut of the electrocardiograph by Thomas Cotton in 1914, the discovery of a malignant tumour marker by Phil Gold and Samuel Freedman in 1965, its transformation from a community hospital serving anglophone Montreal to an internationally recognized academic centre during the 1950s and ’60s, and changes in governance due to the 1970 Quebec Medicare Act. Both a collective reminiscence and an extensive institutional history, The General is an engaging account of one prominent hospital’s development over nearly 200 years.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.287
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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