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Record W7096175345

A 20TH CENTURY PEDIATRICIAN AND THE EMERGENCE OF MODERN PEDIATRICS By

2016· article· en· W7096175345 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNature versus nurtureSpecialtyContext (archaeology)HebrewSocial issuesMedical care
DOInot available

Abstract

fetched live from OpenAlex

In 1922, in the midst of increasing infant mortality and the rampant spread of infectious disease, a small, but dedicated group of physicians founded the Canadian Pediatric Society in Toronto. Surprisingly, there was tremendous reluctance on the part of the Canadian medical establishment, comprised chiefly of academics and internists, in recognizing pediatrics as a distinct medical specialty. However, the early pediatricians were steadfast in their belief that the needs of a child were diverse, that children were susceptible to a different category of diseases and they required a continuum of care from infancy through to adolescence. They believed that only those trained to recognize these issues were qualified to nurture the growth and development of Canadian children. Dr. Lyon Pearlman, a pioneering Ottawa area pediatrician from 1938-1989, is an excellent example of an early practitioner who initiated changes at both the local and national level and helped to establish pediatrics as a specialty that integrates clinical, psychological and social issues in the management of illness. This paper will highlight some of his major contributions and place them within the context of the emergence of modern pediatrics. In May 1984, the Canadian Friends of the Hebrew University in Jerusalem held a dinner in Ottawa, honoring Dr. Lyon Pearlman for fifty years of dedication to the practice of pediatrics. Over 300 people attended in order to celebrate the extraordinary career of one of Ontario’s pediatric pioneers (Brodie 1984, 43). Among the many former students and colleagues present, it was a teenaged patient who perhaps best captured the doctor’s unique ability to understand and relate to those whom he looked after for so many years. In a statement for the Canadian Jewish News, the patient remarked, “he’s interested in me as a person [and not just as a patient]…I know he really cares ” (Dempsey 1984, 25).

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.013
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.177
Teacher spread0.161 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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