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Record W2111262625 · doi:10.29173/cmplct18941

Envisioning curriculum as six simultaneities

2014· article· en· W2111262625 on OpenAlexvenueno aff
Hanin Binte Hussain, Lindsey Conner, Elaine Mayo

Bibliographic record

VenueComplicity An International Journal of Complexity and Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumEmergent curriculumCurriculum theoryAotearoaCurriculum mappingContext (archaeology)Mathematics educationSet (abstract data type)PedagogySociologyProcess (computing)Curriculum developmentPsychologyComputer scienceGeography

Abstract

fetched live from OpenAlex

This paper uses the discourse of complexity thinking to envision curriculum as six partial and coupled facets that exist simultaneously: curriculum as structure, curriculum as process, curriculum as content, curriculum as teaching, curriculum as learning and curriculum as activity. Such a curriculum is emergent and self-organising. It is emergent in two ways: (1) in its deliberate intention to foster new learning, activities and teaching without knowing or dictating exactly what will emerge, and (2) in the sense that curriculum is an ever-evolving reality that is brought forth in the ongoing interactions of the six coupled facets. A self-organising curriculum enables a teacher to create ‘a space for running’ and foster ‘interactive running in that space’ to meaningfully honour both the requirements set by authorities and the interests of children and teachers, rather than a pre-determined curriculum. This model of curriculum was developed and is discussed in the context of the early childhood curriculum in Aotearoa New Zealand.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.020
Scholarly communication0.0090.016
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.410
Teacher spread0.350 · 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 designTheoretical or conceptual
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

Citations21
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueComplicity An International Journal of Complexity and EducationSame topicEducation Systems and PolicyFrench-language works237,207