Métissage in <i>Art/Re-search (T)here:</i> Entanglements of be-longing and re-storying
Bibliographic record
Abstract
Art/Re-search (T)here is a project that includes seven re-searchers/co-conspirators from different academic fields who identify a need for, and absence of, arts-based research in their respective fields, including English Literature, Cultural Studies, Labour Studies, Education, Game Design, and Interdisciplinary Studies (Film Studies, Indigenous Studies & Social Work). The art/re-search that co-conspirators create tell stories differently; re-storying how and where research is done, and with whom, as it engages with (post)qualitative practices and posthumanism as a decolonizing research methodology. This article works through the (in)tensions of re-storying and art, the limitations of language and embodied (be)longings occurring through the virtual material-discursive. (T)here, the primary investigator of the project of Art/Re-search (T)here be-longs with co-conspirators and this is shared through métissage, a research methodology that unfolds via an affective decolonizing responsibility.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".