Urban agriculture and buddhist concepts for wellbeing: Anuradhapura sacred city, Sri lanka
Bibliographic record
Abstract
The first Buddhist city Anuradhapura (377 BCE-1017 CE), continues as a world heritage site.The unbroken relationship with the agriculture and irrigation landscape, apparent in the city, plays a vital role throughout the history, shapes the city and the sacred landscape.This research argues that urban agriculture in Anuradhapura establishes a 'performing system' to engage the people with the topography and the city and uplift their body and the mind for wellbeing.It illustrates that this is achieved through a process of dwelling, understanding the orientation of the place, which is a spiritual experience manifest in the landscape, cities and settlements.This research examines how and why urban agriculture engages everyday/ urban life with the topography and successfully establishes a healthy and sustainable city for wellbeing.It examines the anthropo-ethnographical and phenomenological experience, the encounters with the topography, agriculture & irrigation and their manifestation in landscape, place, and city, achieving spiritual and sustainable place, and discusses its relevance to wellbeing and healthy city.The research methodology synthesises aspects of phenomenology, philosophy, anthropology, ethnography, landscape research, neuroscience, and Buddhist philosophy.In Anuradhapura sacred city, the everyday life of people has been devoted around large wewa (reservoirs) and vast paddy fields for the sustenance of the city as well as achieving sacred experiences.Through engaging in the laborious life of agriculture in the periphery, they experience the four noble truths and the deeper dimensions of the place, relating to the centre/orientation (physically & non-physically) which shapes the city form affirming the Buddhist sacred city.This engagement evokes embodied agriculture landscape which brings healthy space for human wellbeing.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".