Law and lawlessness in industrial fishing: frontiers in regulating labour relations in Asia
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
Abstract The paper examines the extension of state regulation of industrial fisheries to include labour relations in the wake of scandals concerning unfree and abusive working conditions in the fishing industry. The focus is on fisheries operated out of Thailand, supplemented by information about working conditions in fisheries based in Myanmar and Taiwan. A concept of frontier that pays attention to patterns in labour relations prior to intensification of state regulation enables consideration of how non‐state agents including vessel owners and captains, fishing technologies, marine ecologies, vessel mobilities, borders, and workers contribute to shaping working conditions in industrial fishing. This approach reframes current efforts to regulate industrial fisheries as acting not on an unregulated or lawless fisheries, but on a series of dynamic existing practices of involving multiple agents who regulate fisheries work in the relative absence of state regulation. Using this concept of the frontier also helps explain how and why labour relations in fisheries are positioned as exceptional in relation to terrestrial work, and draws attention to the way that state regulation works through owners and captains, often neglecting the agency of workers, or undermining worker agency through migration policies.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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