Arts education in Ireland: Visions of a performative teaching, learning and research culture
Bibliographic record
Abstract
In this paper we offer an overview of the arts in education in Ireland, making a case for a performative approach. We discuss theory, research and practice – situating the developments in Ireland within a multicultural context. We begin by offering our own definition of Arts (in) Education research, drawing on seminal policies and interrogating various art classifications, from a historical and etymological perspective. Next, we consider their impact at a global and regional level and we examine how policy has influenced the curriculum. Following this, we reflect on the ramifications of theatre and drama in education, highlighting the fragmentation in the field. In the main argument of the paper, we make a case for performative education, illustrating our vision for performative language teaching and research. We suggest that theory of aesthetic experience can be a useful framework, and close with remarks on our contemporary society.
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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 | 0.040 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.012 | 0.114 |
| Scholarly communication | 0.045 | 0.017 |
| Open science | 0.003 | 0.025 |
| Research integrity | 0.005 | 0.012 |
| 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".