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Record W2063149329 · doi:10.5539/ass.v5n6p103

Research Raising the Bilingual Teaching Level of Chinese in College

2009· article· en· W2063149329 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

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsChinaBridging (networking)Raising (metalworking)DisciplineForeign languageBilingual educationTraining (meteorology)Chinese languageSet (abstract data type)BusinessPolitical sciencePublic relationsEconomic growthPsychologyMathematics educationEconomicsComputer scienceEngineeringLinguisticsLaw

Abstract

fetched live from OpenAlex

China’s admission to the World Trade Organization (WTO), compounded by the rapid global economic growth – over the last decade – had created exuberant need for skilled manpower in China. This is evident by the demand for skilled talent in inter-disciplinary fields related to foreign language training. Mastering foreign language is considered a scarce resource in China as these specialist skilled persons will provide an important trans-culture bridging link with the Western World. The need for such niche skilled manpower had created challenges to Chinese universities to develop accelerated bilingual training programs to cater for such a demand. China’s Education Authorities recognize this requirement and had set priorities to administer the local universities to provide such bilingual courses. This article has discussed the professional course bilingual education necessity, analyzes concrete questions which Chinese universities bilingual education exists, and proposed the measures and the suggestions which raises the standard of bilingual education level.

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)0.013
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: none
Teacher disagreement score0.891
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.171
GPT teacher head0.494
Teacher spread0.324 · 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