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
Digital Humanities (DH) 2006 was the first conference hosted by the newly constituted Association of Digital Humanities Organizations (ADHO). It represents a continuation of the ALLC and ACH joint conferences, and this continuation can be seen in the topics discussed in the various papers, panels and posters. In February 1989 readers of the Humanist Mailing List, then into its second year, and then as now edited by Willard McCarty, could read the following list of topics that would be presented in the first joint ACH/ALLC conference in Toronto later that year, which included: archaeology; lexical databases; authorship attribution; manuscript bibliographies; computational linguistics; music; humanistic research; national research funding; computer-assisted learning; content analysis; narrative analysis; databases; scanning; discourse analysis; stylistics; editorial problems; text archives; the French novel; funding issues; text encoding; hypertext.
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 | 0.001 | 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