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Record W4283453076 · doi:10.36510/learnland.v15i1.1067

Paths, Maps, and Pirates: How a Preschool Class Overcame Limits of the Pandemic Through Drama

2022· article· en· W4283453076 on OpenAlex
Keely D. Cline, Meghan Sheil, Cindy Rouner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLEARNing Landscapes · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCreative Drama in Education
Canadian institutionsnot available
Fundersnot available
KeywordsDramaClass (philosophy)CurriculumPandemicPower (physics)Coronavirus disease 2019 (COVID-19)SociologyHistoryVisual artsPedagogyArtEpistemologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

This article spotlights the power of pushing limits and boundaries through emergent curriculum and process drama as told through the story of a preschool class’s exploration of the topics of paths, maps, and pirates. The story is framed in terms of the three phases of the class’s project adapted from the Project Approach (Katz et al., 2014), which started prior to the Coronavirus pandemic, but continued and concluded in the midst of it. Reflections and insight are provided by the classroom teacher including as she drew inspiration from the Reggio Emilia Approach and other professional development and experience.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.241
Teacher spread0.215 · 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