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Record W4411397619 · doi:10.53762/dj713459

10.53762/dj713459

2000· article· en· W4411397619 on OpenAlexvenueno aff
Bukhtiar Ahmed, Fatima Noreen

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIslamVariety (cybernetics)ChildlessnessCivilizationPsychologyIntellectSociologySocial psychologyPolitical scienceLawEpistemologyHistory

Abstract

fetched live from OpenAlex

A person’s life will be filled with a variety of social, economic, and intellectual challenges. There are certain issues that a person can handle using his intellect, intelligence, and physical struggle, yet there are some issues that are out of a person’s control. Childlessness is one of them. This is a problem that leads to a lot of family and psychological problems in matrimonial life. A person's sexual self-esteem, desire, and performance can all be impacted by infertility. Sex is a common method used by couples to emotionally connect. Couples may lose that emotional bond if sex is seen as a failure or a letdown. In Europe, the situation is different, however, in Pakistani society, it is a very severe issue. Childless people use a variety of less ethical methods—methods other than treatment—to make up for this lack. Islam is the only religion that can appropriately counsel such individuals and provide them comfort in such a situation. It offers an answer to every issue facing modern civilization. In this short research paper, Islamic teachings have been described in this regard so that the heart of childless people can be mitigated.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9820.978

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 head0.006
GPT teacher head0.212
Teacher spread0.205 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
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

Citations0
Published2000
Admission routes1
Has abstractyes

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