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Record W2131859781 · doi:10.2304/elea.2008.5.4.492

Access to Creativity: Position of Technology in the Ontario Curriculum for English Language Learners

2008· article· en· W2131859781 on OpenAlexaffabout
Miwa Aoki Takeuchi

Bibliographic record

VenueE-Learning and Digital Media · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsEllCurriculumInformation and Communications TechnologyLiteracyCreativityMathematics educationPedagogyComputer sciencePosition paperSociologyPsychologyTeaching methodWorld Wide Web

Abstract

fetched live from OpenAlex

In this policy research note, the author examines how Ontario curriculum documents for English language learners (ELLs) address information and communication technology (ICT). Upon analysis, three characteristics were identified, as follows: the superiority of standardized English, technology as an ambiguous tool, and under-representation of students' home literacy practices. ICT in the curriculum for ELLs was, at best, described as a tool for English language acquisition or for functional computer literacy. By examining these characteristics from the perspective of critical theory, ELLs still have difficulty in gaining access to creative uses of ICT. Consequently, the current state of the curriculum will result in sustaining or increasing the literacy divide between ELLs and non-ELLs.

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)0.003
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.196
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.007
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.258
Teacher spread0.238 · 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
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

Citations1
Published2008
Admission routes2
Has abstractyes

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