Redes alimentares alternativas e potencialidade ao desenvolvimento do capital social
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
From sustainability and social justice perspectives, organic food producers have found a bifurcation between conventional growth and maintenance of family farms. The latter are driven to alternative food networks that embrace a broad variety of formats. This article questions how these formats can favor social capital development. Based on a systematic review, 45 articles sustain the existence of a taxonomy of five different types of networks: own production; basket schemes; direct sales; community supported agriculture and; solidarity purchase groups. The reflection regarding expected density and links in each type of network, based on the observed examples, indicate greater potential in groups formed by consumers, followed by those started by producers, basket schemes and, finally, production for self-consumption. This can be a significant contribution to policies aimed to boost responsible consumption and family farm development.SOUZA, Ronaldo Tavares de; CALDAS, Eduardo de Lima. Redes alimentares alternativas e potencialidade ao desenvolvimento do capital social. Estudos Sociedade e Agricultura, jun. 2018, v. 26, n. 2, p. 426-446, ISSN 2526-7752.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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