Bibliographic record
Abstract
Across the global North, oil, gas and mineral exploration and extraction projects are underway in greater numbers, as international interest grows in the resource potential of the Arctic. Northern lands and seas are being surveyed and described as places of opportunity, speculated to be significant economic prospects for developing extractive industries to supply global energy demands. Exploration and development activities are likely to expand into remoter places, and the potential of the Arctic emerging as a major region for hydrocarbon production and mining is becoming a critical economic, geopolitical and societal issue (Nuttall 2010a, 2012). In northern Canada, several energy megaprojects are either currently under review or are about to undergo formal assessment processes overseen by federal, provincial and territorial regulators. Northern megaprojects are considered essential for shaping Canadaís resource map and for determining the countryís economic trajectory. Approval of large-scale project applications is necessary for the extraction and development of natural resources in the countryís high latitudes and for Canadaís stated aim of becoming a petro-state and economic powerhouse (Nuttall 2010b). Central for the success of many of these projects in Canadaís northwest is the construction of oil and gas pipelines which are increasingly regarded as nation-building activities in the same way as the development of resources has long been viewed historically with the idea of a Canadian national polity and, indeed, a global economic role for Canada (Innis 1930; Zaslow 1971).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.026 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".