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Record W4399164950 · doi:10.1159/000539566

The Founding Pioneer Cytotechnologists: The Women Who Assisted George N. Papanicolaou, MD, PhD, Develop the Pap Test for Cervical Cancer Prevention

2024· review· en· W4399164950 on OpenAlex
Paul Elgert

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueActa Cytologica · 2024
Typereview
Languageen
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPapanicolaou stainMedicinePapanicolaou TestGynecologyCervical cancerTest (biology)Pap testFamily medicineCervical cancer screeningCancerInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The earliest cytotechnologists are largely unknown. SUMMARY: In 1943, the book "Diagnosis of Uterine Cancer by the Vaginal Smear" by Papanicolaou and Traut recognized several women who have largely faded from memory. While Mary Papanicolaou and Charlotte Street are familiar names, others like Alberta Kuder and Huldah Boerker, who inadvertently laid the groundwork for the field of cytotechnology, remain obscure. There were also women like Christine Rassias and Adele Reboul who did not receive recognition. Notably, Mrs. Lady Mary G. Papanicolaou, despite her significant contributions both in the lab and at home since 1914, was not acknowledged in her husband's work until the publication of his Atlas in 1954. KEY MESSAGE: These women set the benchmark for future cytotechnologists, unknowingly shaping the profession as we know it today.

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.

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)0.002
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.940
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.131
GPT teacher head0.417
Teacher spread0.286 · 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