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Record W2202632845 · doi:10.31542/j.muse.185

Magical Playscape - The Airport

2014· article· en· W2202632845 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueMacEwan University Student eJournal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsMacEwan University
Fundersnot available
KeywordsWonderCreaturesMythologySpace (punctuation)Magical thinkingAestheticsVisual artsArtSociologyPsychologyHistoryLiteratureNatural (archaeology)Social psychologyComputer science

Abstract

fetched live from OpenAlex

Magical playscapes are environments rich with colours, smells and textures; where scale and physical traits are attuned to create fairy-like charm or th awe of the gargantuan and the creatures of myths and enchanted tales are invited to share in the play. Authors Frost and Talbot explain that, "such playscapes extend possibilities; expand awareness; transcend the common; and enhance opportunities for children to wonder, create and experiment, and thus to grow" (1989, p. 15).Students were asked to create a magical playscape for their term 2 field placement. My goal in creating a magical playscape was to build a space where each child was welcome, felt supported, and free to play within the given space or to recreate it; I wanted them to feel unencumbered by adult rules or boundaries and to find within this area their own "magical state of being" (p. 14).ReferenceFrost, J., & Talbot, J. (1989). Magical playscapes. Childhood Education, 66(1), 11-19

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.011
GPT teacher head0.253
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