Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this commentary, I respond to Ruez and Cockayne’s ‘Feeling Otherwise’ in a moment of intense ‘otherwise-ness’ as a global pandemic upends daily life in a variety of mundane and profound ways. Provoked by Ruez and Cockayne to take up the idea of the stories we tell, I reflect on ambivalence and writing into a world deeply undecided. Although it is not hard to detect accounts of this crisis at both the ‘paranoid’ and affirmative ends of an affective spectrum, there is also perhaps an unprecedented ambivalence seeping into our stories, one which holds potential for disrupting some of our taken-for-granted ideas about how the world works. As we attempt to use stories to make sense of this changing world and to write into being a world we want to live in, we must, as Ruez and Cockayne insist, remain attentive to difference and resist the pull of a universal, masterful story. I suggest getting comfortable—or staying uncomfortable—in the queasy, sweaty space of undecidability.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it