A letter from Irenopolis to the inhabitants of Eleutheropolis; or, A serious address to the dissenters of Birmingham
Bibliographic record
Abstract
^•o^: Multa in liomine, Demea, ^^Signa infunt, ex quibu' conjeflura facile fit, *,_.Duo cum idem t'aciunt, fspe ut poflis dicere, -" Hoc licet inpune facere liuic, illi non licet: Non quo dilTimilis res fit, fet quo is qui facit.lermce Adctphi, Aft V. Scene IV. o ^GENTLEMEN, X ERMIT me to addrefs you in a fpirit of candour and refpe(3, and under the facred and endearing names of fellow-citizens and fellow-chriilians.With in- tentions not lefs pure, and, probably, after refearches not lefs ^diligent than your own, I cannot profefs to think with you ji^upon many fpeculative fubjecls, both of politics and of re- ^ligion.But freedom of enquiry is equally open to you, X and to myfelf: it is equally laudable in us, when con-•^' duded with impartiality and decorum; and it mufl: equally tend to the enlargement of knowledge and the improvement of virtue, while our fincerity does not betray us into precipitation, and while our zeal does not ftifle within -J us the amiable and falutary fentiments of mutual forbear- \j^ance.Upon the points in which we diffent from each -.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.377 | 0.124 |
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".