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
Abstract The guiding question in this essay is, how might we speak of silence—interpret silence—without objectifying it and losing a sense of it in the way we speak of it. That means that prioritizing the value of direct linguistic language, comprehension (i.e. constructing a conceptual grasp), interpreting what other hermeneuts say about silence, or attempting to make it visible is not a viable option. The myths of Hermes and Metis, however, might be integral to the lineages of speaking and knowing that are more suited to speaking of silence than the lineages that arise out of biblical exegesis and modern/contemporary philosophy and theology. In the process of shifting to the value of those myths, the bonding of truth and goodness with stability and moral decency is displaced by the value of uncertainty and indirection. Throughout, the essay accepts the distinction between silences and silence and prioritizes awareness of silence in the silence accompanying awareness.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it