Desarrollo costero integrado (DCI): una alternativa de organización y desarrollo para el subsector pesquero artesanal
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
Artisanal fisheries has been since long the subject of interest for social scientistsand national planningagencies because it representsoneof the last exampleofactivities forsustenance basedon the hun tingo! the wild resources. Recently, this interest has increased because the importance of the artisanal fishery for fresh food supplies for human consumption and becauses of the overexploitation of Coastal resources which has resulted in a stagnation and even a decrease of the fish consumption in poor developed communities. The possibility of utilizing the fishermen manpower, the experience in dealing with the marine environment and the use of marine technologies availables for the artisanal fishermen, requires of a conceptual frame and a coherent plan that we cali “Integrated Coastal Development” (ICD). This plan will allow to coordínate the effort of the different disciplines and elemenls involved in the development process of the artisanal fisheries sector. The disciplines are mainly from the social area of biological (bioecology) and social Sciences (e.g. sociology.anthropology, economic) and the elements are the Fisheries Resources, the Technologies utilized in the production process, and the Fishing community where this process takes place. These three elements are interrelated and interact creating new fields where concrete actions are required. A conceptual model in proposed and the elements and the interactions are described. The model proposed is being utilized as a frame for the activities that the Fisheries Program of the IDRC-Canada is implementing in collaboration with research institutions in Latin America.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it