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Record W4220867752 · doi:10.18432/ari29593

Constructing a Pedagogy of Apparentness

2022· article· en· W4220867752 on OpenAlexvenueno aff
Adam Tramantano

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive dissonanceParallelsMetaphorNarrativeVisual arts educationFraming (construction)PedagogyPostmodernismPerceptionAestheticsArt criticismArt methodologyPsychologySociologyVisual artsContemporary artArtThe artsSocial psychologyLiterature

Abstract

fetched live from OpenAlex

In this explorative essay, I discuss the complexity of apparentness as it pertains to being a teacher educator and an artist. Notions from creative and postmodern research approaches help me suggest that it is a quality of perception and not a quality of art or any other kind of text. In this exploration of how apparentness comes in and out of focus for me as an educator and as an artist, I begin with a discussion of the role of art in my becoming a teacher educator; I realize art’s efficacy as a site for exploring the acts of facilitating discussions, drawing the attention of others, and raising an awareness for what we believe matters. As a painter, I reflect on and inquire into what is laudable and limited in these forays of connecting art to teaching and education. The research approach is narrative and reflective, not intent on the discovery of discreet findings, but more interested in discovering questions and in offering some ways of framing my experiences and their possible implications for educators, teacher education, art, and artists. I ponder the parallels between art and education, particularly in how viewing art can be a metaphor for classroom discussions. The essay is concerned with what we believe is apparent and mysterious, and how we engage in dialogue with the resonance and dissonance of the perceptions of others.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0480.000

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 head0.131
GPT teacher head0.415
Teacher spread0.284 · 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.

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
Published2022
Admission routes1
Has abstractyes

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