MétaCan
Menu
Back to cohort

Tulane University: 1926–1935

2019· book-chapter· en· W2990264001 on OpenAlexaboutno aff
Craig A. Miller

Bibliographic record

VenueOxford University Press eBooks · 2019
Typebook-chapter
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PolymathArt historyPerformance artMedical schoolMedicineArtMedical educationOphthalmologyVisual artsHistoryArchaeology

Abstract

fetched live from OpenAlex

Michael moves to New Orleans, has eye-opening experiences in the French Quarter, and his first-semester grades suffer. Influential professors shape his love of learning and research. He encounters Alton Ochsner, Chief of Tulane Department of Surgery and a highly influential future mentor. He has dramatic and defining clinical experiences at New Orleans’ Mercy and Charity Hospitals. While still a medical student, Michael invents a new transfusion syringe. The legendary surgeon and polymath Rudolph Matas befriends the eager young Michael, becoming another revered role model. DeBakey graduates from medical school at the top of his class and decides to become a surgeon, training under Ochsner.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.249
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2490.130

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 head0.028
GPT teacher head0.213
Teacher spread0.185 · 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 designQualitative
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 routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicHistory of Medical PracticeFrench-language works237,207