How a sense of place may return the Social License to Operate concept back to an ethics of responsiblity within a neoliberal framework — a Tasmanian salmon story
Bibliographic record
Abstract
This chapter is a journey into the ontological significance of place in consideration of the Atlantic Tasmanian salmon industry and its challenges to the ethical discourse around the social license to operate (SLO) beyond the oxymoron of a name. It centres the discourse around the salmon itself. A once totem animal, responsible for the balance of Canada’s abundant ecosystem, now reduced to a mere source of protein, manipulated, and commodified by Tasmania’s ‘big business’ and against the SLO of Flanagan’s ‘Toxic’. It applies Ortega y Gasset’s mid-twentieth century solution to the problem of our western disconnection from place to the current neoliberal political framework. This welcomes an inclusive dialogue with kinship structures of the Mi’kmaq peoples reflected also in the ontological narrative of the First Nations people of Tasmania. This multidisciplinary journey necessitates a concept of the SLO founded upon ethical responsibility and a cultural license if it is to genuinely hold to account the corporate sovereign.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.072 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".