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Record W4206188668 · doi:10.29173/cjfy29750

Marital Adjustment and Communication Styles Among Married Adults in Ilorin, Kwara State, Nigeria

2022· article· en· W4206188668 on OpenAlexvenueno aff
Falilat Anike Okesina

Bibliographic record

VenueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la Jeunesse · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMarital relationshipMarital statusPopulationDescriptive statisticsState (computer science)DemographyDevelopmental psychologySociologyStatistics

Abstract

fetched live from OpenAlex

This study examined the marital adjustment and communication styles among married adults in Ilorin, Kwara State, Nigeria. A descriptive survey design was adopted. The population consists of married adults in Ilorin, Kwara State. Two research questions were raised and four null hypotheses were postulated in the study. Data were collected using a questionnaire tagged ‘Relationship between Marital Adjustment and Communication Styles Questionnaire’ (RMACSQ). Data analysis was done using Pearson’s Product Moment Correlation (PPMC). The result obtained revealed that there was a high level of marital adjustment among married adults in Ilorin, Kwara State. Married adults in Ilorin Kwara State adopt good communication styles in marriage. There was no significant relationship between marital adjustment and communication styles of married adults in Kwara State based on age, gender and educational status. There was a significant relationship between marital adjustment and communication styles among married adults in Kwara State on the basis of years of marriage. Based on the findings of this study, it was recommended that seminars and conferences should be organized for married adults in other to enlighten them on the challenges of marital relationships. This would enable them to adjust and communicate better in their new home.

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 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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.013
GPT teacher head0.288
Teacher spread0.275 · 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 teacher head, 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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Family and Youth / Le Journal Canadien de Famille et de la JeunesseSame topicAttachment and Relationship DynamicsFrench-language works237,207