MétaCan
Menu
Back to cohort
Record W1538564617 · doi:10.1017/cbo9780511527883.002

Introduction: A New Approach to the Study of Emotional Development

2000· book-chapter· en· W1538564617 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typebook-chapter
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyNormativeFeelingSocializationDevelopmental psychologyEmotional expressionCognitive psychologySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Emotional development traces a detailed pattern across the lifespan. This pattern is comprised of periods of rapid change alternating with periods of consolidation and stability, self-amplifying individual variations on universal developmental themes, and progressive complexity in feelings, thoughts, personality, behavior, and self-regulation. We know that the patterning of emotional development is not a direct expression of some species-specific or genetic program. Nor is it simply a readout of socialization practices, family experience, or any other set of environmental contingencies. Despite our attempts to predict it, emotional development is indeterminate and malleable at almost any age. Despite our normative classifications, it is characterized by idiosyncratic and unique trajectories. In short, emotional development is organized and orderly without being prespecified or programmed. How do we account for its intrinsic organization? How does emotional development achieve its coherence, complexity, and patterning without design or instruction?

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.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.768
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.237
Teacher spread0.183 · 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