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Record W7036186852

Approaches to teamwork and leadership training in maritime education and training institutions : a comparative analysis of the perspectives of seafarers towards teamwork and leadership across different regions

2019· article· en· W7036186852 on OpenAlexaboutno aff

Bibliographic record

VenueMaritime Commons The Digital Repository of World Maritime University (World Maritime University) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsnot available
Fundersnot available
KeywordsTeamworkTraining (meteorology)Work (physics)Management training
DOInot available

Abstract

fetched live from OpenAlex

A comparative analysis of the perspectives of seafarers towards teamwork and leadership across different regions Degree:Master of Science Teamwork and leadership skills play a vital role in all activities on board a vessel.Taking into consideration the importance of the human element, the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers, 1978, as amended (STCW) went through another substantive revision in 2010 called the Manila Amendments which focused on updating the convention and addressing issues which are anticipated in the near future.One of the integral changes included new requirements for teamwork and leadership training.This amendment required seafarers to undergo mandatory training in leadership and team working skills at operational level and leadership and management skills at management level.Since then, a number of Maritime Education and Training institutions (METIs) across different regions of the world have started training its seafarers to inculcate these

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.158
GPT teacher head0.235
Teacher spread0.077 · 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 teacher head, 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

Citations0
Published2019
Admission routes1
Has abstractyes

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