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Record W2152994781 · doi:10.1093/jpepsy/jsu084

Historical Analysis in Pediatric Psychology: The Influence of Societal and Professional Conditions on Two Early Pediatric Psychology Articles and the Field's Subsequent Development

2014· article· en· W2152994781 on OpenAlexaff
Lara M. Genik, J. J. Yen, C. Meghan McMurtry

Bibliographic record

VenueJournal of Pediatric Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversity of GuelphChildren’s Health Research Institute
Fundersnot available
KeywordsPediatric psychologyPsychologyField (mathematics)School psychologyApplied psychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The field of pediatric psychology arose in the 1960s in response to a variety of societal and professional needs. 2 seminal articles written during this time, by Jerome Kagan (1965) and Logan Wright (1967), played key roles in the field's development. However, their efficacy in galvanizing a response from medical professionals and psychologists had much to do with broad-ranging developments in pediatric public health, intraprofessional changes among medical specialties, and a growing preoccupation with "psychosocial" and parenting issues. The purpose of this paper is to situate Kagan's (1965) and Wright's (1967) contributions within their social and historical contexts, and thereby to elicit reflection on the field's subsequent and continued development.

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)0.003
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 score0.018
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.410
Teacher spread0.375 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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