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Record W7019089345

Farmer's access to and perceptions of mass media and mass media study groups : a study of rural communication in the West Lombok Regency - West Nusa Tenggara Province, Indonesia

2016· other· en· W7019089345 on OpenAlexaboutno aff

Bibliographic record

VenueMinerva Access (University of Melbourne) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMass mediaPerceptionQuarter (Canadian coin)Rural areaFocus groupRural development
DOInot available

Abstract

fetched live from OpenAlex

This study examines farmers' access to and perceptions of mass media rural programs and study groups in West Lombok Regency. A questionnaire and in-depth interview were used for data collection. Forty respondents were interviewed, of whom 21 were from study groups and 19 were not members of study groups. Based on the data collected, it was found that television is an important medium for rural communities. One hundred per cent of research respondents had access to television programs, about a quarter had access to radio, and none had regular access to printed media. There is no strong evidence to conclude that group. membership is significantly associated with people's access to rural programs. Group profiles support this statement as they indicate that two of the four selected study groups were inactive. However, the data support the argument that mass media receiver ownership is significantly associated with people's access to rural programs. Results also indicate that there is a positive relationship between people's access intensity to rural programs and their familiarity and perceptions of rural programs. This investigation also reveals that the active study groups were. characterised by their ability to integrate groups' programs. and activities into the existing local communication system, called Yasinan and Arisan. Therefore, findings of this research suggest the need for reconsidering existing values and integrating them into every development approach.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0050.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 teacher head, not a consensus.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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