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Record W2384604672

On Carrying out Scientific Research of Vocational College and Methods

2014· article· en· W2384604672 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

VenueThe Guide of Science & Education · 2014
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsLa Cité Collégiale
Fundersnot available
KeywordsVocational educationQuality (philosophy)Mathematics educationSubject (documents)Process (computing)Vocational schoolEngineering ethicsEngineeringPsychologyPedagogyComputer scienceLibrary science
DOInot available

Abstract

fetched live from OpenAlex

Higher vocational school teachers both teaching and research is increasingly significant, scientific research has not only become an important part of vocational teachers' job classification, is also an important indicator of Vocational School assessment level of scientific research. Here, first pointed out the construction and upgrading of teachers are science and engineering research and improving vocational colleges to carry out an important prerequisite for scientific research, and can be used within the outer lead training approach to improve the quality of teachers. Then, for the science and engineering of particularity, proposed the establishment of a team on the existing basis, choose the subject, to carry out specific research topics and methods, and to propose methods for science and engineering research vocational assessment, namely the process, heavy achievements, light practice assessment methods, in order to lead the polytechnic vocational school teachers, and even other professional vocational school teacher, to answer fundamental problems of carrying out vocational school research.

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)0.032
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.120
GPT teacher head0.511
Teacher spread0.391 · 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