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Record W2095663888 · doi:10.5539/ass.v8n7p60

The Impingement Factors of the Rural Library Services Usage among Rural Youth in Malaysia

2012· article· en· W2095663888 on OpenAlexvenueno aff
Siti Zobidah Omar, Hayrol Azril Mohamed Shaffril, Jusang Bolong, Jeffrey Lawrence D’Silva

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
FundersUniversiti Putra Malaysia
KeywordsFocus groupGovernment (linguistics)Information and Communications TechnologyPromotion (chess)Rural areaRural communityQualitative researchBusinessLocal governmentEconomic growthPublic relationsPolitical scienceSocioeconomicsMarketingSociologyPublic administrationSocial science

Abstract

fetched live from OpenAlex

Developing the rural community is one of the main government agendas. One of the methods used by the government to develop the rural community is by ensuring continuous delivery of information. In tandem with this, many high impact projects for the rural community have been introduced particularly on ICT. Nonetheless, besides ICT, the government also has rural library to rely on. In a number of local and international studies, rural library has been proven to benefit the rural community. The main query of this study is to identify the impingement factors of the rural library usage among rural youth and the findings obtained are expected to contribute to the existing literatures. Using a qualitative method, focus group discussions (FGDs) have been carried out among two groups, one of the FGDs was conducted with six librarians and another FGD was conducted among six rural library users. The FGDs were conducted in Kuala Terengganu, Terengganu, Malaysia. Data gained were later transcribed verbatim and analysed. Based on the analysis done, a total of eight main factors that can impinge their usage of rural library services have been identified. In order to further enhance the usage of rural library services among youth, this study suggests that issues such as relevant sources and activities, youth involvement in the planning process, a better way of promotion and roles of librarians should be highly considered.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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