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Record W2355130176

Disorderly Graduate Education and Its Correction

2012· article· en· W2355130176 on OpenAlex
Zhonghua Wang

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

VenueJournal of Graduate Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsScience North
Fundersnot available
KeywordsGraduate educationGraduate studentsChinaQuality (philosophy)Quality assuranceHigher educationMedical educationInternationalizationPost graduatePsychologyPolitical scienceMathematics educationPedagogyBusinessMedicineMarketingLawPhysics
DOInot available

Abstract

fetched live from OpenAlex

Graduate education in China is faced with a disorderly situation—irregularities in enrollment,poorly designed graduate programs,low quality graduate courses that resemble undergraduate courses,academic inbreeding,alienated teacher-student relationships,lack of innovation,low teacher-student ratios,and imbalanced proportions of graduate education.To correct this situation,a number of strategies must be adopted: redefining the goal of graduate education,transforming graduate programs,reforming the management of graduate education,accelerating the internationalization of graduate training,establishing a graduate education law,and forming a quality assurance system for graduate education.

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)0.002
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: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.087
GPT teacher head0.395
Teacher spread0.308 · 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