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
Feb. 22nd 1884. My dear Mr. Butler, Your kind letter followed me from Toronto to Quebec, and I have now brought it on with me here; I mean to send it to Goldwin Smith as I know it will give him pleasure to see what you say of him and of his utterances. We have been living in a whirl, and also in the snow, but the interest of Canada is unspeakable and I would not have missed it for the world. Mrs. Arnold has gone through the journey very well has been a great help to me; we travelled from Montreal in one of those “sleepers” which we hate, and slept hardly at all; we arrived here in the middle of the day yesterday, a fine place and a fine people. We had callers all the afternoon, at 6 I dined with some noblemen at the Cumberland Club, then came the lecture on “Numbers” to a great audience, then a crowded reception; and finally a supper-party! However we slept well at last and now we are just starting for Boston where we sleep tonight. I shall e glad of a few hours there to take a last leave of that beautiful city where I have received so much kindness. On Saturday, I go to Albany, & it is finally settled that Mrs. Arnold shall not go there with me, but shall return straight from Boston to the shelter of your hospitable roof – a shelter which I hope to reach on Sunday. My love to Miss Butler in the meanwhile, and believe me, my dear Mr. Butler. Affectionately yours, Matthew Arnold
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 | 0.005 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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