Bedfellows in Mass Digital Conversion: Ten Years of Text Creation Partnership(s)
Bibliographic record
Abstract
This paper offers a brief account of some senses in which “partnership” and collaboration have been and continue to be fundamental to the Text Creation Partnership’s mandate. Additionally, by examining the kinds of collaborative engagements in which TCP has participated, it raises and addresses questions about some frictions produced by unlikely partnerships between the private and public sectors as well as about benefits afforded by the same. Finally, it tenders some suggestions about future collaborative efforts the TCP might help to foster and, in turn, be fostered by. Ultimately, this paper stresses cooperative protection of the digital cultural commons as a cardinal virtue of digital humanities collaborative effort. It seeks to refocus attention on this aspect of the TCP’s role in the field.
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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 | 0.024 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.035 |
| Scholarly communication | 0.026 | 0.026 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 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".