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
Drawing on a corpus of eight translations of Lewis Carroll’s Alice in Wonderland into five languages (German, French, Spanish, Brazilian Portuguese, Italian), the paper discusses the forms and functions of proper names in children’s books and some aspects of their translation. In Alice in Wonderland, we find three basic types of proper names: names explicitly referring to the real world of author and original addressees (e.g., Alice , her cat Dinah , historical figures like William the Conqueror ), names implicitly referring to the real world of author and original addressees (e.g., Elsie , Lacie and Tillie , referring to the three Liddell sisters Lorina Charlotte, Alice and Edith Mathilda), and names referring to fictitious characters. An important function of proper names in fiction is to indicate in which culture the plot is set. It will be shown that the eight translators use various strategies to deal with proper names and that these strategies entail different communicative effects for the respective audiences.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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