Rig Talk and Disidentification in Peter Christensen’s Rig Talk and Mathew Henderson’s The Lease
Bibliographic record
Abstract
Although Mathew Henderson’s 2012 poetry collection The Lease has been credited as the first book of insider poetry about oil work, Peter Christensen’s 1981 collection Rig Talk marks the beginning of an overlooked and growing tradition in Canadian literary history. Written during different oil booms and published three decades apart, both books incorporate rough, violent, misogynist, and racist “rig talk” to embody and subvert a toxic masculinity and its seeming opposite, an equally toxic settler-colonial ecopoetics. This article adapts theories of disidentification by Michel Pecheux, Jose Esteban Munoz, and Judith Butler to argue that the ambivalent speakers of both texts use petrocultural disidentification to perform, mourn, and resist the inadequate versions of subjectivity on offer. Considering recent calls for a just energy transition that leaves no one behind, and looking for alternatives to polarization and despair, it considers petrocultural disidentification as a mode for solidarity and resistance.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.046 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".