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Record W2059164598 · doi:10.1002/jhbs.20440

From the ‘Village of a Thousand Souls’ to ‘Race Crossing in Jamaica’: Arnold Gesell, eugenics and child development

2010· article· en· W2059164598 on OpenAlexaff
Fredric Weizmann

Bibliographic record

VenueJournal of the History of the Behavioral Sciences · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsYork University
Fundersnot available
KeywordsEugenicsRace (biology)SociologyGenealogyGender studiesPsychoanalysisHistoryPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Perhaps best known for providing age-related norms in early development, norms that are still used as a basis for measures of developmental maturity, Arnold Gesell was a key figure in developmental psychology from the 1920s through the 1950s. After examining Gesell's reputation and status in the field, we explore Gesell's changing relationship to eugenics, both in terms of Gesell's often contradictory attitudes about the role of hereditary and environmental influences in development, and in terms of the broader relationship between the eugenics movement and science.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.180
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.075
GPT teacher head0.301
Teacher spread0.225 · 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

Citations10
Published2010
Admission routes1
Has abstractyes

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