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Record W4243019606 · doi:10.30603/am.v16i1.1405

Eksistensi Bimbingan Perkawinan Pranikah di Wilayah Kecamatan Ujung Tanah Kota Makassar

2020· article· en· W4243019606 on OpenAlexaff
Ahmad Jazil

Bibliographic record

VenueAl-Mizan · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSociologySocioeconomicsPsychology

Abstract

fetched live from OpenAlex

Pre-marital marriage cource aims to equip brides-to-be with understanding and knowledge and skills about married life, hoping that in the future they can create a harmonious family while reducing conflict, domestic violence and divorce. This study discusses the existence of pre-marital marriage course in the Ujung Tanah District, Makassar City. This study uses a qualitative approach with data collection methods through interviews. The results of this study indicate that participants of premarital marriage course in the Ujung Tanah District, Makassar city are participants who have registered at the Office of Religious Affairs, but have not yet entered into a marriage contract. The fact that after following pre-marital marriage course, the couples feel each other's self confidence increases and their are better prepared to live a domestic life, so that the existence of pre-marital marriage course can create a happy family. However, in the implementation there were also obstacles faced by the facilitators and the guidance participants.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.002

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 head0.030
GPT teacher head0.281
Teacher spread0.250 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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