Bibliographic record
Abstract
The dissertation that follows is the result of extended collaboration with, and co-labouring among women working in an illicit, value-added cannabis production facility, 400115335 BC, in the southeastern interior of British Columbia, Canada, in the lower Slocan Valley. An extended case study of the political economy leveraged against these workers ensues, which exposes the mechanisms depriving them of state provisions and protections normally afforded to Canadian citizens. Illegal firms employing unprotected workers, with the full consent of local and provincial authorities, represent the significant findings of this research. Further, the work engages in ethnographic content analysis to evaluate the intentional exclusion of illicit cannabis producers in the West Kootenay region, and in Canada more generally, from the approvals and licenses that would permit them to participate in legal markets. An examination of late capitalist financialisation is presented to illustrate that ex-politicians and law enforcement persons prioritised their personal access to cannabis production licenses and markets over that of a five decades-old, established industry, excluding hundreds of functioning production farms, opting instead to create cannabis production firms incapable of producing at scale, many of which either engaged, or continue to engage in malfeasant practices such as deployment of the deceptive IFRS accounting methodology, the over-compensation of corporate principals, and the “pump and dump” stock valuation scam, a form of insider trading.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.117 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".