Exploring Art and Craft in Teacher Education Whilst Going Toward a Performative Approach
Bibliographic record
Abstract
Since 1997, I have returned to and revisited textile materials through different types of approaches. As an artist, I have been working with soft sculptures and immersive installations. As an artist-teacher, I sought to (re-)introduced wool felting tradition to teacher students in Norway. As a researcher, I re-turn (Barad, 2014) my approach to wool felting and engage diffractively (ibid.) within teacher education. I am now still exploiting a performative approach to the subject of arts and craft within teacher education. This approach is conjointly inspired by contemporary visual art form of expressions and by Barad’s performative ontology. In this text I attempt to convey my working processes as I relate how I started to engage with a performative approach to drawing in the field of arts and craft in teacher education, and how I now aim to enact further a performative approach to wool felting. This approach is inspired by post-humanism perspectives. Consequently, traditional binaries or dichotomies one can find in assumptions related to the humanities, as subject-object and theory-practice (van der Tuin and Dolphijn, 2010), are here deterritorialized to be simultaneously and differently reterriorialized (Deleuze and Guattari,1980). My approach goes thus beyond the theory-practice division to hold an intra-active pedagogy (Lenz Taguchi, 2010) and an ethico-onto-epistemological framework (Barad, 2007). This implies a set of mind considering an intimated relationship between making, being and knowing: all those aspects are present under a creative process, not isolated and nor independent of the process. Adopting a performative approach with my students, I do not necessarily privilege a linear approach and I do not necessarily privilege human agency above non-human entities. Following an ethico-onto-epistemological framework means here to merge the phenomenon of felting (beings) and its written study and analysis (ways of knowing).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.050 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".