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Record W2310795806 · doi:10.5539/ass.v12n4p131

The Effect of Internet Usage on Relations between Members of the Omani Family in the Dhofar Region

2016· article· en· W2310795806 on OpenAlexvenueno aff
Reem Abuiyada, Salithamby Rauff, Adnan Eteiwi

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsSustenanceThe InternetNonprobability samplingExploratory researchSociologyPsychologySocioeconomicsPolitical scienceSocial scienceDemographyLawComputer science

Abstract

fetched live from OpenAlex

Oman has a society which is highly driven by religious and cultural values. Religion and culture have both been apparent sustenance to shape every area of Omanis’ daily life at individual, familial and societal levels. The instituting of modern technology, particularly the Internet, has a decisive impact on the traditional and structural nature of Omani’s family life. This study has examined such impact on families. This is an exploratory study employing quantitative data. Around 200 families from different parts of Dhofar, Oman (such as Salalah, Mirbath, Thamreet and Taqa) have been recruited by a purposive sampling, and their views and experiences on how their use of modern technology influences their life were collected. The findings suggested that the Internet use has produced a low husband-wife relationship in family life. Findings also suggest that there was a low relationship between siblings in a family. The Internet use had also effects on Omani families’ traditional culture and beliefs.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.299
Teacher spread0.279 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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