Innovations in Organic Food Systems for Sustainable Production and Ecosystem Services: An Introduction to the Special Issue of Sustainable Agriculture Research
Bibliographic record
Abstract
<p>Organic agriculture is one of the best developed multifunctional production strategies in agriculture, and yet is not widely understood in terms of its full potential for contributing to food security, economic development, and environmental health. This special edition of the journal Sustainable Agriculture Research explores the knowledge, innovations, potentials, and research needs that will strengthen the links between organic food systems, sustainable production, and enhanced ecosystem services. The following articles are from an international conference titled “Innovations in Organic Food Systems for Sustainable Production and Ecosystem Services,” held on 1-2 November 2014 in Long Beach, California. The conference was co-sponsored by the Organisation for Economic Co-operation and Development (OECD) Co-operative Research Programme on Biological Resource Management for Sustainable Agricultural Systems, the International Centre for Research in Organic Food Systems (ICROFS), the United Stated Department of Agriculture, National Institute of Food and Agriculture (USDA-NIFA), and the American Society of Agronomy (ASA).</p>
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.
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.012 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".