Asset-Based Community Development: Assessment of Community Assets and Resources of Diocesan Shrine and Parish of San Isidro Labrador, Talavera, Nueva Ecija - Basis for Sustainable Livelihood and Development Programs
Bibliographic record
Abstract
This study assessed the community assets and resources of the Diocesan Shrine and Parish of San Isidro Labrador in Talavera, Nueva Ecija, using the Asset-Based Community Development (ABCD) framework as the basis for sustainable livelihood and development programs. Employing a descriptive qualitative design, data were gathered through workshops, focus group discussions, and in-depth interviews with parish leaders, organizations, and community members. Results revealed that the parish community is rich in agricultural assets, local knowledge, and active spiritual and social programs, yet faces challenges such as limited market access, vulnerability to disasters, and inadequate financial support. Proposed interventions include entrepreneurial training, cooperative marketing, agri-tourism initiatives, digital literacy, and environmental sustainability projects. Findings underscore that leveraging existing community strengths, coupled with targeted interventions, can foster inclusive development, strengthen resilience, and promote long-term sustainable livelihoods within the parish community
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".