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Pengaruh Interaksi Sosial Komunitas Adat Baduy Luar Terhadap Persepsinya pada Kebutuhan Keluarga

2015· article· en· W2183355191 on OpenAlexaff
Ahmad Sihabudin, Basita Ginting Sugihen, Djoko Susanto, Pang S Asngari

Bibliographic record

VenueJurnal Penyuluhan · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Security and Socioeconomic Dynamics
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPerceptionIntervention (counseling)Interpersonal communicationPsychologyPublic relationsSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

The objectives of this study are (1) to get description the family needs of the Outer Baduy Community, (2) to analyze factors that influence the perception of Outer Baduy Community towards the needs of their families; and (3) To get tentative model of Planned Changes, such as intervention, and things that need to be intervened to fulfill the needs of Outer Baduy Community’s Family. (4) Social Interaction through interpersonal communication and with the agent of change had significant relation to the perception of Heads of family on basic needs, safety, loved, and appreciated are felt, and the perception towards the satisfaction on safety, loved, and appreciated; To develop strategy and policy in fulfilling the needs of SCC family of Baduy can be created through the enhancement of standard family’s needs by making a centre of business practice, discussion forum (community information group), escalation of business facility, community participation, the support by opinion leader in Baduy community, private support, and the motive and the awareness to change is high. Key words: community of baduy custom, perception, fulfillment of family needs.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.039
GPT teacher head0.233
Teacher spread0.194 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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