Bibliographic record
Abstract
Letttr furfiJ in i" - --'rtiftr tf September , 1769, AI. 10869, from ivbftKi it ivas ctpifd into mil tbt Paw, and bearing Datt, Plymouth, Auguft u, SIR, * OO wilt pevM.itme to believe.*b*t you never knew any more of roe, than I have the Honour ot knowing of you t And if in your Letter of the itlh of Auguft you had not made wrong-Ufe of my Name, I mould not now find myfelf I j -y .obliged to enter into a Corref-Ani friiimn.iifopondence with you.You pretend that " in the Summer o4 the-Year 1764, i> Overtures were made in my Name to feVeral Mem* e bers of Parliament, importing that I was ready to " impeach Three Perlbns, Two of whom were Peers, " and Members of the Privy-Council, f having fold ' the Peace to the French t" And you Item to found hereupon the Evidence of a Charge, which you fay jni carried yourfelf to Lord Halifax. 1 declare therefore, here, Sir, tlyrt I never made, tnrcaufed to be made, any fiich Overture, either in I toe Winter or Summer of the Year 1*64, nor at any ctberTnne : I was, on the one Side, too faithful to the OiliceT filled, and on the other, too zealous
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 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 | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".