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Record W4406405633 · doi:10.26789/jsc.2024.02.002

Construction of Curriculum Ssystem of Port and Shipping Logistics Specialty Group Driven by New Quality Production

2025· article· en· W4406405633 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.

Bibliographic record

VenueJournal of Smart Cities · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Educational Techniques
Canadian institutionsTrinity College
Fundersnot available
KeywordsPort (circuit theory)Quality (philosophy)BusinessGroup (periodic table)Production (economics)SpecialtyOperations managementCurriculumEngineering managementEngineeringMedicinePsychologyEconomicsPedagogyChemistryMechanical engineering

Abstract

fetched live from OpenAlex

In order to enhance the professional adaptability of port and shipping logistics talents, this paper analyzes the impact of new quality productivity on the port and shipping logistics industry, and proposes a construction plan for the course system of the port and shipping logistics professional group based on new quality production. The aim is to integrate and optimize the course content, improve the professional literacy and practical ability of port and shipping logistics talents, and meet the new needs of industry development. The study elaborates in detail on the principles, objectives, content, and implementation paths of curriculum system design, in order to provide useful references for the teaching reform of port and shipping logistics majors in universities.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.287
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.039
GPT teacher head0.362
Teacher spread0.323 · 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