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Record W2099665869 · doi:10.1080/10720530125970

A DIALECTICAL CONSTRUCTIVIST VIEW OF THE CREATION OF PERSONAL MEANING

2001· article· en· W2099665869 on OpenAlexaff
Juan Pascual-Leone Leslie S. Greenberg

Bibliographic record

VenueJournal of Constructivist Psychology · 2001
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsYork University
Fundersnot available
KeywordsDialecticMeaning (existential)Experiential learningPsychologyEmbodied cognitionConstructiveProcess (computing)Constructivist teaching methodsSituatedCognitive scienceComputer scienceReflection (computer programming)Cognitive psychologyEpistemologyPsychotherapistArtificial intelligenceMathematics educationTeaching method

Abstract

fetched live from OpenAlex

A dialectical constructivist approach, based on a theory of constructive operators (TCO), is presented. This theory explains human psychological functioning as produced by dynamic syntheses of a variety of schemes, the "software," and mental "hardware" operators. In this model the activity of the subject is captured by means of such mental operations as allocation of attention to, or interruption of the application of schemes, as well as by executive processing. These all influence the probability of certain schemes being activated and synthesized in a field of internal complexity. Using this theory as a base, the process of meaning construction in therapy is described as a dialectical synthesis between two major types of processing, conceptual and experiential. These act together to constantly generate explanations of experience. Three important moments in the construction process, emotional arousal, symbolization, and reflection are discussed. Finally a therapy transcript is analyzed in terms of the TCO to illustrate the dynamic syntheses and mental operations involved in generating meaning in therapy.

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)0.010
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0040.061
Scholarly communication0.0140.012
Open science0.0030.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.385
Teacher spread0.354 · 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

Citations80
Published2001
Admission routes1
Has abstractyes

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