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Record W2793163106 · doi:10.1080/09585176.2018.1445578

Seeing double: design and enactments of a lesson on perspective‐taking

2018· article· en· W2793163106 on OpenAlexafffund
Mary Ott, Kelly-Ann MacAlpine, Kathryn Hibbert

Bibliographic record

VenueThe Curriculum Journal · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerspective (graphical)CurriculumAttunementNarrativeReading (process)PedagogySociologyMathematics educationPsychologyComputer sciencePolitical scienceArt

Abstract

fetched live from OpenAlex

ABSTRACT This narrative inquiry of a lesson intended to develop perspective‐taking links our understanding of teachers as curriculum makers with a sociomaterial attunement to the ways that materials, forms, and time are also actors in producing curriculum. We offer a close reading of three classroom enactments of the same lesson and discuss ways that these instances of curriculum‐making expanded or diminished opportunities for elementary pupils to communicate shifts in perspective through personal narrative writing. We find temporal, spatial, and material resources, including schedules, technologies, and forms of assessment, to play key roles in shaping relations in curriculum making.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.005
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.068
GPT teacher head0.311
Teacher spread0.242 · 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

Citations9
Published2018
Admission routes2
Has abstractyes

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