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Record W4386717399 · doi:10.55678/jia.v10i1.628

EFEKTITIVITAS PROGRAM KELUARGA BERENCANA KELURAHAN LALEBATA KECAMATAN PANCA RIJANG KABUPATEN SIDENRENG RAPPANG

2022· article· en· W4386717399 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJIA Jurnal Ilmiah Administrasi · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Family Dynamics
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNonprobability samplingPancaData collectionPopulationResearch methodDescriptive statisticsPsychologySocioeconomicsGeographyStatisticsDemographySociologyMathematicsMedicineBusinessBusiness administration

Abstract

fetched live from OpenAlex

This study aims to determine the effectiveness of the family planning program in Lalebata Village, Panca Rijang District, Sidenreng Rappang Regency. The population in this study were 983 community leaders in the Lalebata village where the sampling used was purposive sampling as many as 98 people. The type of this research is descriptive quantitative, using data collection techniques through observation, questionnaires (questionnaire), and literature study. The data analysis is descriptive statistical. The results of this study indicate that the effectiveness of the family planning program in the Lalebata village can be categorized as less effective with a percentage of 60%, while the factors that affect the effectiveness can be categorized as less effective with a percentage of 60%.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.330
Teacher spread0.304 · 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