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Record W4246502430 · doi:10.32920/ryerson.14657037

Movement With Pedagogies in Inquiry

2021· preprint· en· W4246502430 on OpenAlexafffundabout
Alicja Frankowski

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsToronto Metropolitan University
FundersMinistère de l’Éducation, Gouvernement de l’Ontario
KeywordsDocumentationPerformativityMovement (music)PedagogySociologyEarly childhood educationWork (physics)Early childhoodPsychologyEngineeringGender studiesAestheticsArt

Abstract

fetched live from OpenAlex

The following work follows my transition from an early childhood educator co-researcher to a master’s researcher in a pedagogical inquiry project in relation with movement. This MRP presents two articles that draw on a pedagogical inquiry project in Toronto, Ontario. Educators and researchers collaboratively investigated movement pedagogy through conversations and provocations in the playground. Of particular interest to this MRP is a rethinking of documentation practices, as well as discussion of what it might mean to move well together in early childhood education. The first article presents documentation as performativity as a way of rethinking boundaries between the human, material, and subject in representational practices. The second article thinks with movement practices as a moving with species of least concern through the redefining of environment as a meshwork. Overall, this work advances educator pedagogical inquiry research and provides possibilities for reimagining early childhood practices around inquiry, movement, and documentation.

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)0.017
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0110.087
Scholarly communication0.0180.010
Open science0.0020.014
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.075
GPT teacher head0.377
Teacher spread0.302 · 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

Citations0
Published2021
Admission routes3
Has abstractyes

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