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Record W1581706737 · doi:10.1108/00400910810874026

Contradictions in the practices of training for and assessment of competency

2008· article· en· W1581706737 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

VenueEducation + Training · 2008
Typearticle
Languageen
FieldPsychology
TopicCompetency Development and Evaluation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSyllabusTraining (meteorology)Medical educationOriginalityTraining systemEngineeringCompetency assessmentValue (mathematics)Engineering ethicsKnowledge managementPedagogyPsychologySociologyPolitical scienceQualitative researchComputer scienceMedicineSocial scienceGeography

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to highlight the contradictions in the current maritime education and training system (MET), which is based on competency‐based education, training and assessment, and to theorize the failure to make the training useful. Design/methodology/approach A case study of education and training in the international maritime domain was conducted. Data sources include historical documents, rules and regulations concerning MET, syllabi, handouts, sample questions, field notes, an ethnographic study in a maritime college and interviews conducted with experienced mariners and course lecturer. Findings There are contradictions in the education and training system that do not allow the targeted objectives to be fulfilled. Fundamentally, the assessment system has changed the objectives of the education and training practices from learning skills and knowledge required on‐board ships to passing competency examinations. Practical implications The practical implication of this research is valuable for the International Maritime Organization, marine administration and maritime training institutes to think over the competency‐based system in practice today and how to improve the present maritime training and assessment system in order to achieve its authentic objectives. Originality/value This research identified and bridged the gap in literature and research of competency‐based training and assessment in the maritime domain and provides practical solutions for improving this system.

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)0.000
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 score0.802
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.314
GPT teacher head0.485
Teacher spread0.171 · 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