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Empirical Reforms on New-CET4 Communicative Listening Test

2013· article· en· W1712156565 on OpenAlexvenueno aff
Min Lei

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningConversationDictationTest (biology)SentenceEmpirical researchCollege EnglishSection (typography)Key (lock)PsychologyInformational listeningLinguisticsComputer scienceMathematics educationListening comprehensionSpeech recognitionNatural language processingEpistemologyCommunication

Abstract

fetched live from OpenAlex

Following An Empirical Study on Problems Involved in CET4 Communicative Listening Test and Teaching. This article also selects two representative classes of sophomores coming from Hubei University of Education as the sample to complete the empirical research on what necessary renovations should be taken place in New-CET4 communicative listening test in the methods of quantitative and qualitative comparative analysis with the help of the instrument SPSS (Statistics Planning of Social Science). The research findings prove that such reformations should be employed in the traditional New-CET4 listening test as to enlarge the length of conversations step by step and involve conversational situations in Section A (Conversation Listening Part), to add short audio-news and video-episodes as well as subjective questions to Section B (Passage Listening Part), and to change traditional word and sentence gap filling into title filling, partial topic sentence filling and key words filling in Section C (Compound Dictation Part). Key word: Empirical reforms; CET-4 (College English Test Band 4); Communicative listening test

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.316
Teacher spread0.265 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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