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Record W4310571001 · doi:10.1159/000526439

A Brief History of the Pediatric Endocrine Society (PES)

2022· review· en· W4310571001 on OpenAlexaboutno aff
Sharon E. Oberfield, Alan D. Rogol, Walter L. Miller

Bibliographic record

VenueHormone Research in Paediatrics · 2022
Typereview
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyPediatric endocrinologyMedicinePediatricsFamily medicineMedical educationLibrary scienceClassicsHistory

Abstract

fetched live from OpenAlex

The Pediatric Endocrine Society (PES) was initially established in 1972 as the Lawson Wilkins Pediatric Endocrine Society (LWPES), by some of Wilkins' former fellows. As the society grew from its 37 founding members and Dr. Wilkins' influence faded, the name of the society was changed in 2010 and now counts about 1,500 members, mostly from the US and Canada. Pediatric endocrine training programs headed by (LW)PES members have welcomed fellows from throughout the world, many of whom have gone on to leadership positions in their home countries. Starting in 1981, the (LW)PES has collaborated with pediatric endocrine societies around the world in quadrennial meetings, fostering collaborations, transfer of ideas, devising joint practice guidelines, and enjoying one another's fellowship and counsel. The PES presently has committees and special interest groups concerned with all aspects of pediatric endocrinology, assuring that our clinical and academic resources reflect both breadth and depth. To celebrate our 50th anniversary, selected members have written the historical manuscripts featured in this special issue of Hormone Research in Pediatrics. These historical reviews delve into the origins of our specialty, sometimes deep into antiquity, provide useful background information, and illustrate the kinds of intellectual struggles that have led to the development of contemporary pediatric endocrinology, worldwide.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.005
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0010.013
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 head0.333
GPT teacher head0.501
Teacher spread0.168 · 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
GenreReview

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

Citations4
Published2022
Admission routes1
Has abstractyes

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