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Record W3142976915

Factors influencing English Language Learners' performance on the Ontario Secondary School Literacy Test

2013· article· en· W3142976915 on OpenAlexaboutno aff
LiYing LiYing, Ченг, Don, Klinger, Ying Ying, Zheng

Bibliographic record

VenueActa Scientiarum Naturalium Universitatis Sunyatseni · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyTest (biology)Mathematics educationLanguage assessmentPsychologyEnglish languagePedagogy
DOInot available

Abstract

fetched live from OpenAlex

本研究调查了英语学习者个体特点对其在安大略省中学读写测试(OSSLT)成绩的潜在影响。研究者收集了参加OSSLT考试学生的个体因素和与其父母受教育程度、社会经济地位相关的学校因素,将这些因素和学生OSSLT考试成绩(N=4311)进行相关性分析。研究变量包括:课后读写活动、家庭语言使用和该校学生家庭平均经济社会地位。分析结果体现了考试成绩和个体因素以及学校因素的相关性。具体而言,与高分相关的读写活动包括互联网使用、文学和非小说类的阅读;父母受教育水平(而非收入水平)是一项独立的积极预测指标,该指标对OSSLT学生阅读和写作成绩的影响因素分别占到了20%和9%。

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.261
Teacher spread0.248 · 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 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
Published2013
Admission routes1
Has abstractyes

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