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Record W4415986972 · doi:10.1002/ajhb.70167

Field Methods for Investigating Onset and Progression of Middle Childhood Physical, Hormonal, Cognitive and Social Development

2025· article· en· W4415986972 on OpenAlexaff
Courtney Helfrecht, Ivan Kroupin, Tanya Broesch, Lee T. Gettler

Bibliographic record

VenueAmerican Journal of Human Biology · 2025
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsExpansiveContext (archaeology)Early childhoodCognitionChild developmentLate childhoodHuman development (humanity)Set (abstract data type)Meaning (existential)

Abstract

fetched live from OpenAlex

Child development is biocultural, meaning both genetics and experience with the ecocultural context shape ontogeny. Developmental systems-physical, hormonal, cognitive, social, among others-are dynamic and have points of interrelation with each other and local environments, as well as tradeoffs in their patterning. These articulations challenge our ability to discern the factors influencing our phenotypic outcomes; further, similar outcomes may not reference similar pathways. As a result, our ability to understand the evolution of childhood and its role in human life history remains limited. Middle childhood represents an especially unique phase of human life history, with significant shifts across developmental domains. Physically, children's skeletal growth slows after an initial growth spurt. Hormonally, there is a rise in the production of dehydroepiandrosterone and its sulfate (DHEAS) due to the process of adrenarche, which may have important impacts across developmental systems. Cognitively, children become progressively more rational. Socially, children are increasingly aware of the complexity of human perspectives and morality. Methodological approaches to assess the onset and progression of middle childhood must take into consideration the expansive cross-cultural variation in childhoods. This toolkit offers a set of recommendations for evaluating development across middle childhood, with attention to the eco-cultural context of maturation.

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)0.042
metaresearch head score (Gemma)0.047
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: Methods · Consensus signal: Methods
Teacher disagreement score0.042
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0090.007
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0030.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.004

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 head0.057
GPT teacher head0.461
Teacher spread0.404 · 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
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Human BiologySame topicEvolutionary Psychology and Human BehaviorFrench-language works237,207