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Record W4405403348 · doi:10.23977/aetp.2024.080701

Research on Modern Machining Theory Reform under the Background of New Manufacturing Industries for Postgraduate Innovative Engineering Competencies

2024· article· en· W4405403348 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2024
Typearticle
Languageen
FieldEngineering
TopicEngineering Technology and Methodologies
Canadian institutionsnot available
FundersUniversity of Shanghai for Science and Technology
KeywordsMachiningManufacturing engineeringEngineeringEngineering managementManufacturingEngineering ethicsBusinessMechanical engineeringMarketing

Abstract

fetched live from OpenAlex

This study focuses on the reform of the Modern Machining Theory curriculum to align with the evolving demands of new manufacturing industries. By emphasizing advanced materials processing, interdisciplinary integration, intelligent manufacturing, and green manufacturing, the curriculum is redesigned to enhance its cutting-edge relevance and practical applicability. Key measures include the adoption of blended learning, project-based learning, and virtual simulation practices to strengthen students' capabilities in intelligent and high-precision machining. Additionally, the evaluation system is restructured to incorporate project-based assessments, interdisciplinary integration, and process-oriented evaluations, encouraging students to develop comprehensive problem-solving skills and innovative thinking. These reforms aim to build an engineering-oriented and innovation-driven postgraduate talent cultivation system capable of addressing the complex challenges of modern manufacturing and 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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.431
Teacher spread0.321 · 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