The Rock Observed: Art and Surveillance in Michael Winter’s This All Happened
Bibliographic record
Abstract
LIKE MUCH CONTEMPORARY postmodern art, This All Happened, Michael Winter’s first novel, playfully redraws the borders of fiction and reality. That much is immediately clear in a text that calls itself a “fictional memoir,” yet offers a truth claim as its title. Indeed, if the journal form of this novel, with its 365 entries extending over a calendar year, heightens our truth-telling expectations, then the preface, with its twist on libel disclaimers, insists on our looking past the fiction: “Any resemblance to people living or dead is intentional and encouraged.” A glance at the cover, with its spikey-haired, Winterish head peeping at us through binoculars, does little to quell suspicions that, in fact, some fairly blatant snooping has been going on to put this work of fiction together. In the novel itself, we find Winter’s alter ego, Gabriel English, training those binoculars on the city of St. John’s and its people — for his art, of course — but also to the point of some fairly chilling invasions of privacy:
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.027 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".