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Record W1603417260 · doi:10.1017/cbo9780511527883

Emotion, Development, and Self-Organization

2000· book· en· W1603417260 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
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPerspective (graphical)TRACE (psycholinguistics)PsychologySelf-organizationCognitionCognitive scienceInterpersonal communicationOrder (exchange)Natural (archaeology)Development (topology)Cognitive psychologySocial psychologyComputer scienceArtificial intelligenceMathematicsNeuroscienceGeography

Abstract

fetched live from OpenAlex

In the last twenty to thirty years, a new way to understand complex systems has emerged in the natural sciences - an approach often called non-linear dynamics, dynamical systems theory, or chaos theory. This perspective has allowed scientists to trace the emergence of order from disorder and complex, higher-order forms from interactions among lower-order constituents. This is called self-organization, and is thought to be responsible for change and continuity in physical, biological, and social systems. Recently, principles of self-organizing dynamic systems have been imported into psychology, especially developmental psychology, where they have helped us reconceptualize basic processes in motor and cognitive development. Emotion, Development, and Self-Organization is the first book to apply these principles to emotional development. The contributors address fundamental issues such as the biological bases of emotion and development, relations between cognition and emotion in real time and development, personality and individual differences, interpersonal processes, and clinical implications.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.308
Threshold uncertainty score1.000

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 head0.032
GPT teacher head0.272
Teacher spread0.240 · 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