Community-based Learning Tools for Strengthening Democracy Through the Transmission of Cultural Identity: The Case of Ethnics Pga K’nyau Food Culture in Special Socio-Cultural Zones of Chiang Mai, Thailand
Bibliographic record
Abstract
An ethnic cultural tourism network is an essential tool for democratic education in fostering social sustainability and justice through the Village Temple School (Baworn Network). It supports community enterprises in developing entrepreneurial skills to adapt to technology and digital innovation in competitive markets, thereby strengthening community economies as well as enhancing local products. Leveraging the collaborative power of a civil society innovation network, this initiative fosters a cooperative, community-based economy, empowering beneficiaries to engage with online markets and develop value-added products that celebrate cultural identity. One outcome is the instant “Kaeng Khao Boe” (herbal rice porridge), a product designed to sustain a balance between preserving and utilizing the traditional wisdom of the Pga K’nyau people. Learning Democracy and strengthening community culture through local food is an effective and accessible way to attract new consumers. Beyond fostering creative innovation, this network creates accessible community learning resources that enhance human resources across all ages within a specific educational framework. This approach empowers the Pga K’nyau people to engage with digital media, helping them acquire contemporary knowledge while preserving their cultural heritage, traditional wisdom, and way of life. This process embodies sufficiency, morality, preservation, and sustainability, nurturing lifelong learning through various media, such as films, documentaries, and podcasts, including alternative formats for the visually impaired. Additionally, for non-Thai speakers, these media can be translated into English and Karen languages, allowing a greater understanding of Pga K’nyau’s ethnic and cultural identity. This initiative serves as a tool to cultivate democratic engagement among Pga K’nyau villagers, promoting ethnic cultural tourism and products in more sustainable ways.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".