MétaCan
Menu
Back to cohort
Record W2792085262 · doi:10.1177/0967772017743068

Martha Wollstein: A pioneer American female clinician-scientist

2018· article· en· W2792085262 on OpenAlexaff
Jeanne E. Abrams, James R. Wright

Bibliographic record

VenueJournal of Medical Biography · 2018
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsCalgary Laboratory ServicesAlberta Children's HospitalUniversity of Calgary
FundersRockefeller University
KeywordsSpecialtyEthnic groupFamily medicineMedicineGerontologyMedical educationPediatricsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Martha Wollstein was not only the first fully specialized pediatric perinatal pathologist practicing exclusively in a North America children's hospital, she also blazed another pathway as a very early pioneer female clinician-scientist. Wollstein provided patient care at Babies Hospital of New York City from 1891 until her retirement in 1935, and also simultaneously worked for many years as a basic scientist at the prestigious Rockefeller Institute for Medical Research. Wollstein published over 65 papers, many frequently cited, during her career on a wide range of topics including pediatric and infectious diseases. Wollstein was a rare female in the field of pathology in an era when just a relatively small number of women became doctors in any medical specialty. Wollstein was born into an affluent Jewish American family in New York City in 1868 and graduated from the Women's Medical College in 1889. This paper explores her family support and ethnic and religious background, which helped facilitate her professional success. During her time, she was recognized internationally for her research and was respected for her medical and scientific skills; unfortunately today her important career has been largely forgotten.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.447
Teacher spread0.407 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical BiographySame topicChild and Adolescent HealthFrench-language works237,207