C+AARP INSIDE|OUTSIDE Response 1, 2020
Bibliographic record
Abstract
This C+AARP COVID 2020 collection holds the responses to the first and second artful works developed to the provocation INSIDE|OUTSIDE. Designed and curated by teacher candidate, Ella Konrad East who has developed an a/r/tographic pedagogical piece for teaching and learning. The ‘Child+Adult Art Response Project' (C+AARP) (Watkins & Coleman, 2019) involves child artists in a small number of primary schools in metropolitan and regional Victoria, Australia practicing with adult artists in the Master of Teaching (Visual Arts and Design) at the Melbourne Graduate School of Education (MGSE). They visually and textually respond to INSIDE|OUTSIDE as a conceptual, pedagogical and material provocation with each artwork shared as an art encounter. Watkins, M. & Coleman, K.S. (2019). An Artful Experiment: The Child+Adult Art Response Project. InSEA World Congress Proceedings; Vancouver, U.B.C. 10.24981/2020-1 Watkins, M., Grant, R., Coleman, K., & Meager, N. (2019). Entering the liminal through the side door: A “Child+Adult Art Response Project” as portal for student voice and deep thinking. In Coutts, G (Ed.). Torres de, T (Ed.). Learning Through Art: Lessons for the 21st Century?, (1), pp.178-178. InSEA. 10.24981/978-lta2018-15
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 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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.788 | 0.738 |
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".