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Record W2769459922 · doi:10.5604/01.3001.0010.5775

SELECTED PROBLEMS OF INTERMODAL TERMINALDEVELOPMENT PROJECTS IN POLAND

2017· article· en· W2769459922 on OpenAlexaff
Bartosz Grucza

Bibliographic record

VenueZeszyty Naukowe Uniwersytetu Gdańskiego Ekonomika Transportu i Logistyka · 2017
Typearticle
Languageen
FieldSocial Sciences
Topictransportation and logistics systems
Canadian institutionsTransport Canada
Fundersnot available
KeywordsEuropean unionScheduleTransport engineeringBusinessTransport infrastructureRoad transportTerminal (telecommunication)Risk analysis (engineering)Environmental planningOperations managementEngineeringInternational tradeComputer scienceTelecommunicationsGeography

Abstract

fetched live from OpenAlex

Intermodal transport, or briefly speaking transport using at least two different modes of transport, is becoming an increasingly important element of the EU transport policy not only in terms of cost and time, but also in terms of safety and environmental protection. In Poland, mainly due to the observed development of intermodal terminals it recognizes the growing importance of this type of transport. In the last 5 years investments in the development of intermodal terminals with the use of the European Union funds have exceeded 300 million Euro. It is difficult, however, to identify the compliance of these projects with the available methodological standards and good practices. The article is just such an attempt – it examines the projects of development of intermodal terminals in Poland for the achievement of the objectives, compliance with the schedule and the efficiency of the planned budgets. A consequence of the analysis is to identify common problems for this type of projects and to offer solutions through greater use of the available project management methodological tools successfully used in other industries and sectors.

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)0.005
metaresearch head score (Gemma)0.009
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.306
Teacher spread0.251 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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