Institutional context and methods of knowledge mobilization: The case of Marine Stewardship Council (MSC) – Certified fishery of Lagonoy Gulf, Bicol Region, Philippines
Bibliographic record
Abstract
Knowledge mobilization is a key issue in fisheries governance and an instrument to leverage effective governance. There exists a significant research gap about how a certified fishery supports knowledge mobilization in the Philippines. To answer this gap, this study was tailored to investigate the relevance of knowledge mobilization in the context of Marine Stewardship Council (MSC)-certified fishery based in Lagonoy Gulf, Philippines. Specifically, this study was carried out to: analyze the institutional context of MSC-certified fishery based in Lagonoy Gulf; examine the level of awareness of small-scale fishers with respect to MSC certification program; determine whether the MSC certification program has facilitated the taking of adaptation pathways among small-scale fishers; and identify the most preferred method of knowledge mobilization among small-scale fishers. Data were collected through key-informant interviews, subject interviews, focus-group discussions and participant observation. Interview transcripts were uploaded to NVivo platform for data collation and were inputted to the Voyant tools for discourse analysis. Results of this study revealed that fisheries governance in Lagonoy Gulf is immersed in fragmented collaborative governance where hierarchical, market-based and participatory governance modes converge. Majority of small-scale fishers of Lagonoy Gulf were unfamiliar about MSC certification as a market-based program. MSC fisheries certification missed the opportunity to facilitate the fishers to take on adaptation pathways to deal with climate change and other stressors. To promote knowledge mobilization, ‘incentivized community meetings and seminars’ were identified as effective motivators. The limited understanding of fishers regarding MSC certification highlights a failure in knowledge mobilization. • The institutional context of Lagonoy Gulf fishery rests on collaborative governance. • Knowledge on fisheries certification does not count on taking adaptation pathways. • Lack of knowledge on fisheries certification implies knowledge mobilization failure. • Fishers prefer incentivized seminars and meetings as means of mobilizing knowledge. • Community-based meetings among fishers can facilitate knowledge mobilization.
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 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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".