Bibliographic record
Abstract
reader : Then from your statement I deduce that the Government of England is not desirable and not worth copying by us. editor : Your deduction is justified. The condition of England at present is pitiable. I pray to God that India may never be in that plight. That which you consider to be the Mother of Parliaments is like a sterile woman and a prostitute. Both these are harsh terms, but exactly fit the case. That Parliament has not yet of its own accord done a single good thing, hence I have compared it to a sterile woman. The natural condition of that Parliament is such that, without outside pressure, it can do nothing. It is like a prostitute because it is under the control of ministers who change from time to time. Today it is under Mr Asquith, tomorrow it may be under Mr Balfour. reader : You have said this sarcastically. The term ‘sterile woman’ is not applicable. The Parliament, being elected by the people, must work under public pressure. This is its quality. editor : You are mistaken. Let us examine it a little more closely. The best men are supposed to be elected by the people. The members serve without pay and, therefore, it must be assumed, only for the public weal. The electors are considered to be educated, and, therefore, we should assume that they would not generally make mistakes in their choice.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.057 | 0.009 |
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".