Re-Presenting Barriers and Bridges: \nPractice as Research in a \nNew Dance Project about Ability
Bibliographic record
Abstract
This practice-based research project argues that the sharing of personal stories of ability in a world that does not yet meet the needs of people with disabilities, can promote a more inclusive practice of being in the world. As an artist (performer, dancer, visual artist) who uses a manual wheelchair full-time for mobility, I submit this research as a creative praxis exploring the tensions of social inclusion and exclusion. The project overall (in theory and practice) focuses on obstacles and interactions in daily life, and creates layers of auto- ethnographic materials to develop a visceral experience for the audience, intended to create insights by exposing individual and parallel struggles with barriers. This report offers a discussion and documentation of an original performance (process and ‘product’) along with a critical analysis of the auto-ethnographic method applied, including a summary of the learning outcomes (personal, political, performative and academic) of the project overall.
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 | 0.026 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.026 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".