Bibliographic record
Abstract
This essay is one of many attempts to document and process a year-plus long feminist digital media project: ev-ent-anglement. The essay has an irregular construction in six sections to hold and honor the practices, concerns, and findings of the project that all aim to mark the power and violence left usually unregarded after the common and willy-nilly, usually corporate-abetted, movement of digital fragments of ourselves. The ev-ent-anglement, including this essay as one iteration, attempts to mark that every simple cut/paste in a digital environment has an unseen but sometimes felt consequence: a violence and a power. It asks: could this gesture have different meanings or purposes in other formats, environments, and communities? Is affect in Montreal similar to #affect in #Montreal? The essay suggests that perhaps with a dataset made with and for feminist social networks, with a dataset made to feel, our cut/pastes might maintain and pass on some of their original affect. That is to say, principled collections and ethical cuts within coherent datasets might allow for affect to both move and stay within feminist networks.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".