Frankenwords or, responsible innovation for the humanities
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
This perspective is an exercise in reflexivity. The field of Responsible Research and Innovation commonly provides normative analyses of the STEM disciplines. I am asking here: can an argument be made to pay more attention to innovation in the humanities, for example neologisms, metaphors and slogans? I use the history of the neologism Frankenfood to link the responsibilities of STEM and non-STEM disciplines. The history of this word in combination with the history of its inspiration, Mary Shelley’s novel (Frankenstein; Or, the Modern Prometheus), provides a rich tapestry linking the verbal with the physical. Two ethical themes already seem present in the original Promethean myths (Prometheus plasticator and Prometheus pyrphoros), the responsibility of designing creations well, and the follow-up duty of care for the creations. I hope the focus on the persistence and potential harm of memes will promote a discussion of responsible innovation in the humanities.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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