William Basse, A Help to Memory and Discourse (1620)
Bibliographic record
Abstract
About the author William Basse ( c. 1583–1653?), a household poet laureate to Sir Richard Wenman, may have been the text's author. Scholars are uncomfortable with the attribution, which originates from the initials W.B. on the title page of the companion miscellany A Help to Discourse (1619) and some of the miscellany's poetry. About the text Through its subtitle, A Help to Memory and Discourse (1620) identifies itself as a companion to W.B.'s Help to Discourse or A Miscellany of Merriment (1619). This 1619 volume is in turn indebted to W.B.'s Philosopher's Banquet (1609), a translation of Michael Scot's Latin work, Mensa Philosophica (Frankfurt, 1602). A Help to Memory and Discourse capitalised on the growing phenomenon of print collections, compendia and anthologies, which gathered together exempla, bon mots, wise counsels, ribald jests, religious controversies and curious riddles. The genre of the miscellany of wit armed young ambitious gentlemen with the conversational material necessary for competing in homosocial environments that fostered aggressive verbal display. The genre's popularity can be gauged by the seventeen editions of A Help to Discourse produced in the seventeenth century. A Help to Memory and Discourse strays liberally from the bounds of a proper commonplace book since it relies on a haphazard question-and-answer format with a welter of prose and verse rather than headings or even distinct thematic groupings. The arts of memory In the volume's prefatory section, the author makes a case for the essential interdependence between profitable conversation and effective retention and then proffers several aids to strengthen remembrance. The excerpt, cut from this preface, clearly demonstrates that the art of memory could assist gentlemen with recalling witty discourse and suggests that this art even hovered behind the period's popular print miscellanies. Although, after Erasmus's famous advice, print and manuscript techniques were often seen as desirable replacements for the art of memory, the author reminds us that writing and the place system were not at all mutually exclusive. Textual notes A Helpe to memory and discourse, the two syrens of the eare and ioynt twins of mans perfection (London, 1620), B2 v –B6 r . A Help to Memory and Discourse Q. Since discourse is so excellent, precious and profitable, and yet so few can orderly manage it, wherein consisteth the greatest help thereunto?
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".