Environmental Alternatives for Rural Development: The Case of Oaxaca, Mexico
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines various environmental alternatives within the context of forest resource-dependent communities of the State of Oaxaca, Mexico. Two main objectives were to describe particular rural development routes among different Mexican communities, and to explain why certain environmental options for rural development are selected over others. While many communities choose either sustainable or illegal logging options in Oaxaca, some may decide against logging of any kind. Four principal forest-based community categories, according to a government forest classification scheme, are discussed in the context of environmental alternatives for this article. Based on this typology, two "integrated forest management" communities in the Sierra Norte of Oaxaca are described and compared. One community's decision not to log within a shared land arrangement has caused significant tensions in the region. Key findings illustrate the extent to which rural communities can make appropriate environmental decisions and examines their effects on environmental and social sustainability. Increased rural involvement in environmental decision-making is called for, since rural residents are those most likely to appreciate nearby natural resources as a source of sustainable livelihoods. It is expected that this research may be applicable to rural areas of other countries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it