MétaCan
Menu
Back to cohort
Record W7093718761

The effects of discourses in regional contexts on the development of curriculum-based literacy standards for adolescents in schooling: a comparative study of South Australia and Ontario

2017· article· en· W7093718761 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Bank (Australian Catholic University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiteracyCurriculumCONTESTCritical literacyDiscourse analysisCritical discourse analysis
DOInot available

Abstract

fetched live from OpenAlex

This study analyses how discourses in regional contexts affect the development of curriculum-based literacy standards for adolescents in schooling. A comparative case-study research design enabled the influences of discourses at the regional level to be analysed. The case studies include the development of curricula to define a minimum literacy standard for the final years of schooling for adolescents in Ontario, Canada, and South Australia, Australia. Critical discourse analysis of key texts associated with the development of literacy standards in each region reveals how globally shared meanings about standard setting for schooling interact with other discourses operating in local contexts to produce curricula that define literacy standards. The results indicate that, while a global discourse about standards-based reforms may be foregrounded in curriculum, locally generated discourses can challenge key ideas associated with a simplistic discourse about standards. Discourses about literacy in Ontario and South Australia contest the assertion that literacy at the end point of schooling can be defined as a basic competency and local meanings associated with literacy are emphasised within the curriculum for each location. Language choices, involving particularly lexical cohesion, complex noun groups and nominalisation, are used to ensure that local meanings inform literacy standards for the endpoint of schooling.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.135
GPT teacher head0.447
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueResearch Bank (Australian Catholic University)Same topicEducational Theory and Curriculum StudiesFrench-language works237,207