Autistic, Surviving, and Thriving Under COVID-19
Bibliographic record
Abstract
This article takes up Mia Mingus' call to 'leave evidence' of how we have lived, loved, cared, and resisted under ableist neoliberalism and necropolitics during COVID-19. We include images of artistic work from activist zines created online during the COVID-19 pandemic and led by the Re•Storying Autism Collective. The zines evidence lived experiences of crisis and heightening systemic and intersectional injustices, as well as resistance through activist art, crip community, crip knowledges, digital research creation, and the forging of collective hope for radically inclusive autistic futures—what zine maker Emily Gillespie calls 'The neurodivergent, Mad, accessible, Basic Income Revolution.' We frame the images of artistic work with a coauthored description of the Collective's dream to create neurodivergent art, do creative research, and work for disability justice under COVID-19. The zine project was a gesture of radical hope during crisis and a dream for future possibilities infused with crip knowledges that have always been here. We contend that activist digital artmaking is a powerful way to archive, theorize, feel, resist, co-produce, and crip knowledge, and a way to dream collectively that emerged through the crisis of COVID-19. This is a new, collective, affective, and aesthetic form of evidence and call for 'forgetting' ableist capitalist colonialism and Enlightenment modes of subjectivity and knowledge production that target different bodies to exploit, debilitate, and/or eliminate, and to objectify and flatten what it means to be and become human and to thrive together.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".