Natural resources and social conflict : towards critical environmental security
Bibliographic record
Abstract
Introduction: Towards Critical Environmental Security M.Schnurr & L.Swatuk What Are We Really Looking For? From Eco-violence to Environmental Injustice P.Stoett Climatic Security and the Tipping Point Conception of the Earth System C.Russill Insecurities of Non-Dominance: Re-Theorizing Human Security and Environmental Change in Developed States W.Greaves Water and Security in Africa: State-Centric Narratives, Human Insecurities L.Swatuk Avoiding the Resource Curse in Ghana: Assessing the Options P.Arthur Sexual Violence, Coltan and the Democratic Republic of Congo S.Whitman 'The Elephant in the Room?' Peak Oil on the Security Agenda S.Mulligan Dirty Security? Tar Sands, Energy Security and Environmental Violence P.Le Billon & A.Carter Loud Bangs and Quiet Canadians: An analysis of oil patch sabotage in British Columbia, Canada C.Arsenault Bodies on the Line: The In/Security of Everyday Life in Aamjiwnaang S.Wiebe Afterward: Ecoviolence, Security, Geopolitics S.Dalby
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".