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Record W2385104559

The formation and enlightenment of America's program evaluation standard

2015· article· en· W2385104559 on OpenAlexaboutno aff
Qiu Junpin

Bibliographic record

VenueJournal of Chongqing University. English Edition · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsEnlightenmentNational standardChinaQuality (philosophy)Professional standardsImitationPolitical scienceInternational standardEvaluation methodsQuality standardControl (management)Engineering managementPublic administrationPublic relationsComputer scienceEngineeringEngineering ethicsPsychologyLawArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

As an national voluntary educational program evaluation standard, America's Program Evaluation Standard had been revised three times from the year of 1981 to 2011. Program Evaluation Standard( 2011) was formulated by Joint Committee of on Standards for Educational Evaluation( JCSEE), a coalition of major professional associations in the United States and Canada concerned with the quality of evaluation, with a strict procedure. The standard plays a role of standardizing, guiding, adjusting and quality control in America 's educational program evaluation. The newest edition standard presents a serial of characteristics, i. e. parent standards integrating sub-standards, which are of close relation with each other, and highlighting meta-evaluation etc. Therefore, the formation of China's education evaluation standards should base on a sufficient research, proper imitation and factual investigation with extensive stakeholders involving in the formation procedure and the content of standards should deal with the relationship between instruction and feasibility well.

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)0.181
metaresearch head score (Gemma)0.149
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.181
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1810.149
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0050.005
Scholarly communication0.0100.005
Open science0.0030.007
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0020.001

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 head0.118
GPT teacher head0.411
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes1
Has abstractyes

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