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Record W2768580526 · doi:10.14288/1.0360721

Resilient Coast : Liquid Fuel Delivery to British Columbia Coastal Communities

2017· article· en· W2768580526 on OpenAlexaboutno aff
Alexa Tanner, Hadi Dowlatabadi, Stephanie E. Chang, Rodrigo da Costa, X. Shen, A. Graham Brown

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyEnvironmental scienceGeographyEnvironmental resource managementGeology

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.008
GPT teacher head0.167
Teacher spread0.159 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2017
Admission routes1
Has abstractyes

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