Social Licence in British Columbia: Some Implications for Energy Development
Bibliographic record
Abstract
Crown land is unique to the Commonwealth and better represented in British Columbia than anywhere else in the Commonwealth (95% of the land base). Through tradition and common law, British Columbians have come to define Crown lands as publicly owned lands that belong to all residents and to expect governments to shepherd them for the benefit of all. Social licence to operate on this land requires approval from the local community and other stakeholders. The concept of Crown land makes every British Columbian a potential stakeholder and has led to more drama and noise around social licence than occurs elsewhere. The four main reasons for failure in past applications for social licence have been a lack of respect, assuming economics is a sufficient framework, appearing to bully, and hiding or obscuring information deemed relevant. Recent events in the province suggest the provincial and federal governments, and some companies, have learned little from past failures. Energy development faces particular challenges because location counts and impacts are both intrusive and extensive, but the errors described here are avoidable. W. Edwards Deming reputedly observed, “Learning is not compulsory… neither is survival.” Some companies have learned.The topic is addressed under six headings: (1) Whose land is it?; (2) What the public has said; (3) Defining social licence; (4) Lessons from exploring social licence; (5) Lessons and energy development; and (6) What’s next?
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".