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Record W2410360052 · doi:10.1061/9780784479919.058

Statewide Strategic Planning for Oregon’s Port System

2016· article· en· W2410360052 on OpenAlexaff
Scott Keillor, Dave Harlan, John E. Burns, Brooke Walton, Todd Chase, Nicole McDermott

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsBerger (Canada)
Fundersnot available
KeywordsLeverage (statistics)Business planPort (circuit theory)Strategic planningPlan (archaeology)BusinessSales and operations planningFinanceBusiness system planningConsistency (knowledge bases)Investment (military)Process managementComputer scienceMarketingEngineering

Abstract

fetched live from OpenAlex

In 2010, the Business Oregon Infrastructure Finance Authority (IFA) developed Ports 2010: A New Strategic Business Plan for Oregon’s Statewide Port System (Statewide Business Plan) to define the state’s role and investment in Oregon’s 23 ports. The Statewide Business Plan identified the key strengths and significant challenges of Oregon’s port system and recommended a centralized program to finance the infrastructure necessary to support the development of individual port projects. Through the Statewide Business Plan, the state required each port to update its strategic business plan to ensure consistency with the statewide plan. This paper describes the strategic business plan process and, through case study examples, highlights how coordination between local ports and the state can leverage limited funding resources to achieve significant economic impact.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.034
GPT teacher head0.232
Teacher spread0.199 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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