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Waterfront Partnership – Integration and Cooperation in Submarine Repair

2018· article· en· W2915954985 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueConference Proceedings of INEC · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsCape Breton University
Fundersnot available
KeywordsObsolescenceNavyGeneral partnershipScope (computer science)SubmarineWork (physics)Economic shortageBusinessOperations managementEngineering managementEngineeringComputer scienceFinancePolitical scienceMarketingGovernment (linguistics)Marine engineeringMechanical engineering

Abstract

fetched live from OpenAlex

HMCS Victoria Repair Work Period was a strategic partnership between a naval repair facility and an industry partner fostering ground up cultural change and pushing the limits of integration at the waterfront. Many traditionalists might argue that partnering with industry via in-service-support (ISS) contracts is a precursor to rendering naval maintenance facilities redundant, thus accelerating their obsolescence. However, the HMCS Victoria Repair Work Period (VIC RWP) in the Royal Canadian Navy’s (RCN) dry dock in Esquimalt, BC presented a unique opportunity to further a philosophy predicated on an integrated and synergetic approach. A vast work scope, complex submarine design, supply chain issues exacerbated by specialized labour shortages, spurred a change to a long standing approach to submarine maintenance, namely with a Request for Proposal for integrated support resulting in a long-term partnership aimed at achieving the operational requirements of the RCN.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.316

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.044
GPT teacher head0.251
Teacher spread0.207 · 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