Resilient Coast : Liquid Fuel Delivery to British Columbia Coastal Communities
Bibliographic record
Abstract
Coastal and island communities in British Columbia (BC) are highly dependent on maritime transportation to support their basic needs, such as fuel deliveries. Historically, coastal communities maintained substantial local caches of supplies; however, with the advance of integrated supply chains and more frequent scheduled maritime service, just-in-time delivery has become the norm for providers such as supermarket chains, acute healthcare facilities, and fuel suppliers. Thus, coastal communities will experience shortages of critical supplies any time regular maritime service is disrupted beyond the level that can be met using local caches. In a disruption, fuel is a critical commodity that is required not only by the public in general, but also for emergency response vehicles and facilities. Emergency management and planning for community resilience to disruptions therefore requires an understanding of how fuel is supplied and flows in the region. The region has had comparatively little direct experience with fuel supply chain disruptions and shortages. Publicly available information on the fuel system in BC is highly fragmented, inconsistent, and incomplete, thus posing a critical information gap for emergency planning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".