‘To Preserve and Promote’: Gendering Harm in Green Cultural Criminology
Bibliographic record
Abstract
This chapter explores how gendered representations of resource development affect individual and collective behaviour and how these characterisations shape attitudes and policies. Taking a cultural criminological approach, I turn attention to how narratives of frontier masculinity uphold the oil and gas industry in the province of Alberta – the oil and gas powerhouse of Canada and home to the contentious tar sands oil deposits. The construction of environmental harms speaks to gendered and racialised structures of power. Activities associated with masculinity with significant ecological and social footprints are portrayed as innovative, noble or, at worst, an unavoidable trade-off for economic wellbeing in male-dominated industries. This chapter illustrates how the gendered framing of issues related to extraction in Alberta plays on gender norms that are culturally embedded, leaving many of these processes uninterrogated. I conclude by exploring how a critical gender approach can illuminate and challenge the hegemony of resource development and fossil fuels culturally and politically.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".