Bibliographic record
Abstract
In the context of an alarmingly sped up “slow death” for disabled people living under emergency COVID-19 medical triage protocols in Ontario, Canada, that produce, naturalize, and weaponize our vulnerability, we assert that slow digital story-making opens a threshold space filled with complex, relational, lively collaborative worldmaking. Here, we analyze videos made by three digital/multimedia story-makers, known as experimenters, who express the turbulence they lived through via storywork that described their unique yet entwined vantage points. Following Rosi Braidotti’s caution against capitalizing on tragedy, we offer Donna Haraway’s “compost writing” as an alternative to building theory. By compos(t)ing online multimedia stories that straddle digital/human/more-than-human realms, we take up “digital composting” as an unfinished methodology wherein we move collectively, even from the isolation of our own homes. We posit slow digital story-making as a way of “staying with the trouble” as we find ourselves worldmaking at the complex threshold between life/death, vulnerability/resistance, individual/relational, human/nonhuman. To compost digital multimedia stories is to leave them to ruminate in the complex entanglements of posthuman existences in urgent times.
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 | 0.003 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".