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Record W4319264415 · doi:10.5430/jct.v12n1p137

Innovative of Area-Based Learning to Transfer Community Innovation through Phulae Pineapple Living Encyclopedia in Chiang Rai, Thailand

2023· article· en· W4319264415 on OpenAlexvenueno aff
Charin Mangkhang, Chalermrat Mahawun, Nattagit Autmano, Nitpaporn Rujiwattanakul, Suputtra Nuntarit, Nitikorn Kaewpanya, Seksan Khammanee, Puttaraksa Wangpa, Ittikorn Tepsing

Bibliographic record

VenueJournal of Curriculum and Teaching · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsEncyclopediaHappinessParticipatory action researchCitizen journalismScopusKnowledge transferSociologyGeographyKnowledge managementPsychologyLibrary scienceComputer sciencePolitical scienceWorld Wide WebAnthropology

Abstract

fetched live from OpenAlex

The objectives of the research were 1) to study community innovation knowledge through the Phulae pineapple living encyclopedia in Chiang Rai, Thailand, 2) to develop innovative area-based learning to transfer community innovation through the Phulae pineapple living encyclopedia and to study the results of using innovative of area-based learning through Phulae pineapple living encyclopedia. The methodology of the research was based on Participatory Action Research (PAR). The sample group consisted of 20 community innovation informants and a group of 405 people assessing satisfaction with the Phulae pineapple living encyclopedia accounting for a total of 425 people. The instrument used consisted of 1) unstructured interview forms, 2) forms of encyclopedia quality assessment, and forms of satisfaction assessment. Qualitative data was analyzed based on content analysis and the presentation was in the form of descriptive analysis. Quantitative data was analyzed based on a primary statistical package to find the mean and standard deviation. Study results revealed that: 1. The study on community innovation knowledge through Phulae pineapple living encyclopedia in Chiang Rai, Thailand revealed that Phulae pineapple community innovation knowledge is divided into 5 issues, namely 1) Phulae: Sustainable culture of happiness, 2) Phulae: Self-reliant agriculture community, 3) Phulae: Creative local economy, 4) Phulae: History for living with balance and 5) Phulae: Topography for agricultural tourism; 2. Developing innovative area-based learning to transfer community innovation through Phulae pineapple living encyclopedia revealed that innovative area-based learning developed to be Phulae pineapple living encyclopedia consists of 4 parts, namely 1) BEGIN until becoming ... Phulae, 2) BEHIND Phulae ...background of happiness, 3) TO BE CONTINUE Phulae with sustainable security and 4) Conclusion and the application named Phulae has been developed to be used together with the developed encyclopedia. The results of the assessment conducted by experts revealed that the quality of the Phulae pineapple living encyclopedia was at a very high level and it can be disseminated; 3. The study on using innovative area-based learning to transfer community innovation through the Phulae pineapple living encyclopedia revealed that the group of people assessing satisfaction over the Phulae pineapple living encyclopedia assessed the satisfaction to be at a high level in an overall picture. Moreover, it was found that among the group cultivating and distributing Phulae pineapple, incomes in the household have increased from accessing the goods of the consumer group receiving information of disseminating knowledge through the living encyclopedia and the developed application.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

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 studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.266
Teacher spread0.240 · 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 designQualitative
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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