MétaCan
Menu
Back to cohort
Record W4411396800 · doi:10.53762/7zevpp91

10.53762/7zevpp91

2000· article· en· W4411396800 on OpenAlexvenueno aff
Abdullah Saghir Aasi, Asjad Ali, Abdul Aleem

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsnot available
Fundersnot available
KeywordsIslamHarmBeautyDemiseSociologyGender studiesLawReligious studiesAestheticsTheologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Islam is a comprehensive and universal religion that has been granted through Hazrat Muhammad (PBUH); the last messenger of ALLAH. Its beauty lies in the fact that the preaching of Islam will continue until the day of Resurrection. After the demise of Holy Prophet (PBUH), it is incumbent upon every Muslim man and woman to play their part in preaching of this religion. A society can only be reformed when there are people who encourage good deeds and prevent others from evil deeds. If we take a look at the efforts of today’s Muslims for Islam, we find men working for the cause to some extent but women are almost none. In fact, today, women are greater in number as compared to men in past, which is why they need to work even more in this domain. While the women who were educated are trained in the company of Holy Prophet (PBUH), played a vital role in this sector. Knowledge about the core concepts of Islam, domestic life and intricate problems related specifically to women came only through the mothers of the Believers (Ummahat ul momimeen) and their Companions (Sahabiyaat), but today’s women have left this field empty. The few women who are working for the cause mostly emphasize on preaching and training without knowing the psychology of their audience, which causes harm instead of benefit. Therefore, this research paper will discuss that how the female companions of prophet Muhammad (PBUH); i.e. Sahabiyaat, used to preach and train listeners keeping in view the psychological aspects of audience and because of this wise approach, they were immediately ready to act. The fact that how by adopting the said method, today’s society can be reformed, will also be discussed in this paper.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.577
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.9940.967

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 head0.007
GPT teacher head0.221
Teacher spread0.214 · 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; both teacher heads 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

Explore more

Same venueTime to knitSame topicIslamic Studies and RadicalismFrench-language works237,207