MétaCan
Menu
Back to cohort

Dialectical Models of Socialization

2015· other· en· W2145100652 on OpenAlexaff
Leon Kuczynski, Jan De Mol

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDialecticSocializationContradictionEpistemologyAgency (philosophy)Context (archaeology)Transactional leadershipOntologyCausality (physics)SituatedSociologySocial psychologyPsychologyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Despite contemporary acceptance that children are active agents in their own socialization, that causality between parents and children is bidirectional, and that context matters, basic concepts used in socialization research continue to reflect an underlying mechanistic ontology. In this chapter we propose that a dialectical relational systems conception of the transaction model provides direction for future advances in the study of dynamic parent‐child socialization processes with an emphasis of intergenerational change, not only continuity. The chapter begins by exploring dialectics as a framework underlying an organismic‐contextual meta‐theory for understanding the transactional model of human development. The chapter then outlines social relational theory as a framework for translating four assumptions of a dialectical ontology including agency, holism, contradiction, and synthesis to reformulate major transactional processes in parent‐child relations and socialization. The chapter ends by considering implications for application and methodology informed by dialectics.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.022
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.064
GPT teacher head0.438
Teacher spread0.373 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations131
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicAttachment and Relationship DynamicsFrench-language works237,207