Price, Investment and Leasing Data for the British Columbia ITQ Halibut Fishery
Bibliographic record
Abstract
The data that is presented here was aggregated and consolidated to inform the research presented in the dissertation (under review) Edwards, D., Addressing Questions on the Social and Economic Outcomes of an Individual Transferable Quota Fishery, A dissertation to be submitted in partial fulfillment of the requirements for the degree of doctor of philosophy, University of British Columbia and in the paper Edwards, D., & Pinkerton, E. (2019), The Hidden Role of Processors in an Individual Transferable Quota Fishery. Ecology and Society, In Press. This document describes the sources and methodology used for these data inputs. The source data is provided in accompanying files. The data sources presented here are all publicly available, compiled from multiple sources including published reports, online datasets, a government pay for access dataset (BC Online corporate registry), and government data requests (through the federal Access to Information process). A file providing additional background on the data presented, including data sources, is included.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.021 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".