Local Knowledge and Perspectives of Change in Homegardens: A Photovoice Study in Kandy District, Sri Lanka
Bibliographic record
Abstract
Kandyan homegardens are traditional agroforestry systems that exist to support rural livelihoods in Kandy District, Sri Lanka. These agro-ecosystems have been sustained over generations of socio-ecological change and are recognized today for their biodiversity conservation and ecosystem services. The main drivers of adaption and the sustainability of homegardens are the local farmers who manage them on a daily basis. However, despite being key stakeholders, local communities have seldom been included in research, especially through participatory approaches. This study utilized a participatory and visual method called photovoice to reveal the local perspectives and experiences of socio-ecological change as viewed by 24 Kandyan homegardeners. The results highlight visual documentation and narrative that publicly displayed farmers’ perspectives of their current homegardening situation and the major challenges they face. The priorities for future conservation of homegardens include addressing wildlife conflict and crop damage, the lack of land to grow, and a decline in available labor and interest in agriculture, especially among younger household members. Our results indicate that the photovoice process allowed for rich, varied, and in-depth stories of the human-ecological relationship in homegardens to emerge. Consideration of these relationships and the knowledge of local communities are necessary for understanding socio-ecological change in homegardens, and key to sustainable development. Photovoice, we conclude, is a robust method for research in agroforestry systems that can effectively engage local farmers and produce participant-driven data that are potentially well suited to complement other methods for a more holistic approach to understanding homegardens.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".