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Record W2548552326 · doi:10.6000/1927-5129.2016.12.65

Association between Body Image and Marital Satisfaction in Married Adults

2016· article· en· W2548552326 on OpenAlexvenueno aff
Azra Shaheen, Uzma Ali, Haresh Kumar, Pirbho Mal Makhija

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsDemographyMarital statusSocioeconomic statusCross-sectional studyPsychologyMedicineGerontologyPopulation

Abstract

fetched live from OpenAlex

Objective: To determine the association between body image and marital satisfaction in married adults.Study Design: A Correlation/ Cross-sectional studySetting and Duration: The study was carried out in Karachi, Pakistan, over a period of three months.Subjects and Methods: The study was conducted after seeking approval from the Board of Advance Studies and Research (BASR), University of Karachi, Pakistan. A total sample of 200 married adults (100 males and 100 females) was selected purposively for the study. The age range of the target group was 22 to 40 years (mean age 34 years; SD=5.13) with minimum of 2 years and maximum of 20 years of marriage. Entire sample had middle socioeconomic status and their education level was from graduation and above. The subject completed the Demographic Information, Multidimensional Body Self-Relations Questionnaire (MBSRQ) and Kansas marital satisfaction scale. Responses were scored according to the producer given in the manuals.Results: Mean ± SD of age was 34.27±7 years. Mean ± SD of duration of marriage is 2 years and 5 months. Significant (P

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)0.001
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 score0.066
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.291
Teacher spread0.278 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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