Indoctrinated Developmentalism and Local Sustainability: A Social–Ecological Model for Community-Based Enterprises
Bibliographic record
Abstract
Developmental approaches over time have been largely economistic and overlooked local sustainability preconditions. They were greatly influenced by a host of doctrines, theories, and strategies argued through macro-level, macro-scale policies. This research retrospectively views these approaches as they have evolved post-WWII and their effect on sustainability at a community level. It eventually focuses on a specific community-level developmental strategy, i.e., “microfinance”, which has led to the establishment of millions of microenterprises. In recent decades, community-based enterprise (CBE) development has been a widely practiced mode of developmental intervention to develop underdeveloped communities in developing countries. The primary goal of CBEs is to generate profit for people’s livelihood. This research indicates that CBEs offer potential. They can be ecologically sustainable and socially responsible too. A shift in the present model to encourage CBEs’ pursuit of ecological principles is tenable. Foucault’s notion of “dispositif” allows such a shift with incorporation of environmental alongside economic and social goals as a new strategic disposition (model). Therefore, this study presents a social–ecological model of CBE and asserts that it embeds the necessary components to bring about sustainability at a community level.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".