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Record W4242016183 · doi:10.4324/9781315224886-3

Safety and Industrial Relations in the Newfoundland Offshore Oil Industry Since the Ocean Ranger Disaster in 1982

2019· book-chapter· en· W4242016183 on OpenAlexaboutno aff
Susan Hart

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine pipelinePetroleum industryOffshore oil and gasOceanographyBusinessEngineeringGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

This chapter examines the safety problems that emerged from investigation into the Ocean Ranger disaster off the coast of Newfoundland in 1982 and assesses whether subsequent government action established an adequate regulatory framework for safety in the offshore oil industry. Oil was discovered off the coast of Newfoundland during seismic tests in 1965, which showed large oil deposits in the Grand Banks, an area southeast of the province. Both the federal and Newfoundland provincial governments referred the dispute to the Supreme Court of Canada, who ruled in 1984 that subsea resources off the coast of Newfoundland and Labrador belonged to the government of Canada. The politics, power, and economic growth through offshore oil development in Newfoundland largely reflect the plight of a peripheral economy with more than double the national level of unemployment since confederation in 1949. Given the Ocean Ranger disaster in 1982 and its aftermath, it is instructive to ask how far safety practices offshore were improved.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.107
GPT teacher head0.400
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2019
Admission routes1
Has abstractyes

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