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
Jules Verne had never travelled to India. Yet in five of his books India plays an important role. Three have reference, direct or indirect, to the Indian uprising of 1857 against the British. In two ot these—Around the World in Eighty Days (the only book by Verne on India not distorted in translation) and The Begum's Fortune (under the titles The Begum's Riches and The Five Hundred Million of the Begum) Verne talks of light things which may be attributable to a fascination for the exotic. In the other three Verne talks of the uprising of 1857, directly or indirectly. A more captivating science-fiction hero than Jules Verne's creation of Captain Nemo the world has not come by—anywhere, at any time. He is an Indian. Those who read only Twenty Thousand Leagues Under the Seas may miss his national identity, because Verne chose to restrict the relevant information to only one sentence, and that too tangential. Nemo saves a poor, brutally exploited pearl diver from a huge shark in the Gulf of Mannar between India and Ceylon (now Sri Lanka), identifies him as an Indian and an inhabitant of an oppressed country, and adds: I am his compatriot and shall remain so to my very last breath. Nothing else in Twenty Thousand Leagues marks out the awesome builder and master of the mind-boggling submarine, Nautilus, as an Indian. He speaks to his incredibly loyal fellow submariners in a language that sounds strange to Professor Aronnax's ears. This Professor, a French naturalist, who along with his servant and a Canadian harpooner become guest-prisoners on the Nautilus, lists the world-famous authors, artists, masters of music which he finds in
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 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 it