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Record W2066019441 · doi:10.2224/sbp.2009.37.8.1111

Personality implications of adaption-innovation: IV. cognitive style as a predictor of marital success

2009· article· en· W2066019441 on OpenAlexaff
Nicholas F. Skinner, Kristine N. Iaboni

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2009
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyCognitive stylePersonalityPreferenceStyle (visual arts)CognitionMarital TherapyInnovatorSocial psychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The present study provides support for the hypothesis that similarities and differences in cognitive style could mediate the success of a marital relationship. Forty-five married couples, whose scores on the Marital Views Survey indicated they were satisfied in their marriage, independently completed the Kirton Adaption-Innovation Inventory (KAI; Kirton, 1976) to determine their cognitive style (adaptor or innovator). Both members of 45 divorced couples also completed the KAI. Significantly more adaptor/adaptor dyads (32/45, i.e., 71%) were found among married couples than in the divorced sample, suggesting that the preference for structure characteristic of spouses in adaptor/adaptor pairings enables them to produce mutually beneficial approaches to change and solutions to problems in their marriages. The KAI may be valuable in the prospective determination of marital compatibility, and in therapy protocols for couples with marital difficulties.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.079
GPT teacher head0.410
Teacher spread0.331 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2009
Admission routes1
Has abstractyes

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