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Record W2922129056 · doi:10.2478/jped-2018-0012

Doing pedagogical conversations (with spirituality and fat) as pedagogists in early childhood education

2018· article· en· W2922129056 on OpenAlexaffabout
Nicole Land, Meagan Montpetit

Bibliographic record

VenueJournal of Pedagogy / Pedagogický casopis · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsWestern UniversityToronto Metropolitan University
Fundersnot available
KeywordsFacilitatorConversationSpiritualityPedagogyNarrativeSociologyEarly childhood educationAestheticsPsychologySocial psychologyCommunicationLinguistics

Abstract

fetched live from OpenAlex

Abstract In this article, the authors respond to emerging articulations of the work of a pedagogist or pedagogical facilitator in early childhood education in Canada. This article is grounded in two intentions: we (1) share the tentative pedagogical conversations that we have as pedagogists who centre particular concerns, interests, and accountabilities; and we (2) launch our conversation from our desire to re-imagine how everyday pedagogies shape children’s experiences with spiritual knowings and children’s relations with fat. Sharing a narration from a pedagogical inquiry research project, we each offer a familiar developmental reading of the moment, gesture toward a partial re-engagement grounded in post-developmental pedagogies, and then weave our thinking with spirituality and fat together to complexify our propositions. We intentionally refuse to define the work of a pedagogist in a universalizable or technical manner. Instead, we argue that putting our pedagogist work into conversation draws our practices into uneasy, difficult, often contradictory relations and makes visible some potential futures (and their exclusions) we enact as we work to answer to the complex education spaces we inherit and re-create with educators and children.

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 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 score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.416
Teacher spread0.349 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2018
Admission routes2
Has abstractyes

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