Tina Soliman Hunter, Jørnn Øyrehagen Sunde and Ernst Nordtveit (eds.), The Character of Petroleum Licences – A Legal Culture Analysis (Cheltenham: E. Elgar, 2020)
Bibliographic record
Abstract
The Character of Petroleum Licences – A Legal Culture Analysis is the sixth book in the Edward Elgar’s “New Horizons in Environmental and Energy Law” series. It revisits the original study into the legal character of petroleum licenses in the relation between the licensor and licensee as of Daintith’s 1981 monograph The Legal Character of Petroleum Licences: A Comparative Study (University of Dundee, Centre for Petroleum and Mineral Law Studies, ISBN: 0906343089), and it looks at how it has been developed since then. The book incorporates not only the original jurisdictions – Australia, Canada, Norway and the UK – but also those of USA, the Netherlands, Uganda, Russia, Mexico and China. The introduction chapter pays attention to the fact that although the term “legal character” has been used in the 1981 monograph, little attention has been paid to its difference with regard to “legal culture”, which considers that politics, economy and law are intertwined, and displays the characteristics and internal relationships of the reviewed petroleum regimes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.011 |
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".