Implications of Quota Reallocation in the Torres Strait Tropical Rock Lobster Fishery
Bibliographic record
Abstract
The Torres Strait Tropical Rock Lobster Fishery is exploited by a mix of Islander and non‐Islander fishers. While the former group dominates in terms of numbers of fishers, a disproportionate share of the nominal quota is held by the substantially smaller non‐Islander fleet. In 2011, the nominal quota allocation was 54:46 between Islanders and non‐Islander, with the Islander share increasing substantially since 2005 through a buy‐back of around half the non‐Islander fleet. Despite this increase, there is pressure within the Islander communities to further increase their share of the total quota. In this paper, we consider the relative value of a unit of quota to the Islander and non‐Islander fleets and the likely impact this will have on potential quota trade. We estimate production frontiers for the two groups of vessels to derive estimates of the marginal value product of the different fleet segments. From this, we determine if there are efficiency arguments for transferring additional quota to the Islander fleet. We conclude that economic incentives for individual Islanders to purchase quota from non‐Islanders are limited, and that some other form of reallocation system may be more successful in achieving the objective of an increased quota share to Islanders.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".