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Record W2461573928 · doi:10.1177/194277861200500203

Digging into “Resource War” Beliefs

2012· article· en· W2461573928 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Geography · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsResource (disambiguation)NarrativeNatural resourceShameExploitation of natural resourcesVariety (cybernetics)DiggingReflexivityPower (physics)SociologyPolitical scienceEnvironmental ethicsPolitical economyHistorySocial scienceLawComputer scienceLiteratureArchaeology

Abstract

fetched live from OpenAlex

Water wars, oil conflicts and blood diamonds. Three terms reflecting a widespread belief that people fight over resources. Is this belief backed by evidence? What power relations does such a belief reflect and shape? If natural resources have a conspicuous presence in accounts of armed conflicts, the term ‘resource wars’ represents a gross oversimplification. Strategically deployed to prepare for ‘the wars of the future’ or to shame belligerents by exposing their ‘greedy’ motives, ‘resource war’ narratives often overlook the multiple causes of conflict and alternative options to militarized resource control. A main threat from ‘resource wars’ narratives is that they become self-fulfilling prophecies. As such, ‘resource wars’ studies should first be self-reflexive, and then strive to encompass the broad causes, specific historical contexts, and wide variety of effects that resource sectors have on the environment and social relations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.202
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it