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Record W2366072654

Enlightenment of Higher Education of Canada

2008· article· en· W2366072654 on OpenAlexaboutno aff
Lirong Zhang

Bibliographic record

VenueJournal of Pingdingshan Institute of Technology · 2008
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentChristian ministryGovernment (linguistics)Embodied cognitionSet (abstract data type)Mathematics educationEngineering managementPolitical scienceSociologyPublic administrationComputer scienceEngineeringPedagogyLawArtificial intelligencePsychologyEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The characteristics of the higher education of Canada embodied in both management system and education and teaching,including that the federal government does not set up Ministry of Education;two systems of the university and college and many modes of running school;the credit system;the teaching method of elicitation,etc.The enlightenment is:establishing the idea of people first and running school independently according to law;implementing the credit system;running school of multi-channel cooperation;implementing the teaching method of elicitation;setting up the scientific appraisal system and so on.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0140.001
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0500.004

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 head0.023
GPT teacher head0.291
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2008
Admission routes1
Has abstractyes

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