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Record W2594599708 · doi:10.5430/jct.v6n1p58

Curriculum as a Discourse: Using Critical Discourse Analysis to Revive Curriculum Reconceptualists' Thought

2017· article· en· W2594599708 on OpenAlexvenueno aff
Majed Harb

Bibliographic record

VenueJournal of Curriculum and Teaching · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCurriculum theoryField (mathematics)SociologyEmergent curriculumTask (project management)Discourse analysisBridge (graph theory)EpistemologyPedagogyCurriculum developmentCurriculum mappingEngineering ethicsLinguisticsPhilosophyEngineeringMedicine

Abstract

fetched live from OpenAlex

Curriculum reconceptualists seek to reshape the field of curriculum studies. Unlike traditional curricularists, theyreprobate the technical approach of curriculum development because of its pure functional and managerial tendency.Reconceptualists look at curriculum from various philosophy-saturated perspectives. One of their claims isconsidering curriculum as a discourse, and the main task curricularists have to cope with is to understand thisdiscourse.Unfortunately, reconceptualists penetrate deeply into philosophy without offering a clear practical vision that helpsthem transform their insights. In this paper, I argue that reconceptualists can bridge the gap through consideringCritical Discourse Analysis (CDA) assumptions. The idea of understanding curriculum as a discourse could betheoretically and practically detected when employing (CDA).

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)0.058
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0150.007
Science and technology studies0.0100.069
Scholarly communication0.0270.030
Open science0.0040.010
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.478
Teacher spread0.401 · 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 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

Citations8
Published2017
Admission routes1
Has abstractyes

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