Battling Blind Spots: Hours of Service Regulations and Contentious Mobilities in the BC-Based Long Haul Trucking Industry
Bibliographic record
Abstract
This article explores arenas of contention in which long haul truckers’ workplace mobilities are enmeshed. I critically analyze the grounded implications of Hours of Service (HoS) regulations, a primary regulatory mechanism for addressing the dangers posed by truck driver fatigue. I argue that HoS regulations enforce a neoliberal individualization of responsibility that fails to account for industry power dynamics or truckers’ lived experiences of labour mobility. These dynamics add to concerns about the potential exploitation of migrant truck drivers, including through the Temporary Foreign Worker Program. Inasmuch as they fail to address the classed, gendered and racialized dynamics of trucking mobilities, HoS regulations are implicated in perpetuating hierarchies of power in the industry. As such, they are inadequate and – in contextually specific ways – counterproductive to promoting employment equity or overall public safety. These issues are particularly evident in the contentious politics of blame concerning heavy truck-involved collisions.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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 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".