Rupture: an autobiography in earthquakes
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
Rupture is an attempt at building a relationship between a half-remembered childhood \nand an anonymous set of numbers. Rupture consists of three elements: a large display of data \ncollected over the duration of my life; a collection of sixteen photographs; and audio \nrecollections of my life in Jamaica. \nWith this combination I explore the nature of memory and discovery. In particular I look for a \nway to bridge the space between memory and recollection. \nIn my reading I travel from my own experience of cultural and political recollection through a \ncontemplation of the poignancy within a personal snapshot to an examination of the fractured \nprocess in which our brains separate and later reassemble our past. \nThe original impetus for this work was my memory of a night spent under the stars during a \nsmall earthquake. For a moment I was unsure if the sky was moving or the earth beneath me.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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