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
Learning to read and write is seen as both the acquisition of skills useful in a modern society and an introduction to a world increasingly organized around the reading and writing of authoritative texts. While most agree on the importance of writing, insufficient attention has been given to the more basic question of just what writing is, that is, how best to think about writing as both a technology of communication and an instrument of thought. In this article we elaborate and defend the view that writing is distinctive not only as a technology for the visual representation of speech but more basically as a technology for taking language “off-line,” that is, as language enclosed by quotation marks. Writing, like oral quotation, provides a set of objects divorced from the speaker that persist in time and space and that can be considered and reconsidered somewhat independently of the context of expression and the intentions of the original author. Of special relevance are the units of meaning, namely, words and sentences. When writing turns words and sentences into objects of analysis, it facilitates distinctive modes of discourse such as extended prose and distinctive modes of thinking such as formal rationality.
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) | 0.000 | 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