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Record W2135382435 · doi:10.2350/06-06-0120.1

Founders of Pediatric Pathology: Marie Valdés-Dapena

2006· article· en· W2135382435 on OpenAlexaff
M. Daria Haust, Enid Gilbert‐Barness

Bibliographic record

VenuePediatric and Developmental Pathology · 2006
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsWestern UniversityQueen's University
Fundersnot available
KeywordsMedical schoolMedicineApprenticeshipFamily medicineGerontologyMedical educationHistory

Abstract

fetched live from OpenAlex

Marie (‘‘Molly’’) Valdes-Dapena (Fig. 1) (nee Brown) was born on July 14, 1921, in Pottsville, PA. After primary education she attended Immaculata College, near Philadelphia, majoring in Biology and graduating in 1941. She entered Temple University School of Medicine (TUSM) in Philadelphia in 1941 and received her MD in 1944. Molly was a rotating intern and a resident in Pathology (1944–49) in the Philadelphia General Hospital (PGH). She was licensed to practice in 1945 and certified by the American Board of Pathology (ABP) in 1949. She worked the next 2 years as Assistant Pathologist at the FitzgeraldMercy Hospital (‘‘Fitz’’) in Derby, PA. In 1951, she moved to the Women’s Medical College Hospital (WMCH) of Philadelphia (later the Medical College of Pennsylvania) as Pathologist and later as Director of Laboratories. While at WMCH, Molly also held appointments at the University of Pennsylvania School of Medicine and Dentistry as Instructor of Pathology. She rose through the ranks to Associate Professor before beginning her new professional life and ‘‘the apprenticeship’’ in Pediatric Pathology at St Christopher’s Hospital for Children in Philadelphia (‘‘St Chris’’). At ‘‘St Chris and TUSM, Dr Waldo E. Nelson was the Chief of Pediatrics. Other prominent staff were Dr Angelo DiGeorge (Di-

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2006
Admission routes1
Has abstractyes

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