<i>The Libraries</i> , <i>Leadership</i> , & <i>Legacy of John Adams and Thomas Jefferson</i> . Ed. by R <scp>obert</scp> C. B <scp>aron</scp> and C <scp>onrad</scp> E <scp>dick</scp> W <scp>right</scp> . <i>The Libraries, Leadership, & Legacy of John Adams and Thomas Jefferson</i> . Ed. by BaronRobert C. and WrightConrad Edick. Golden, Colorado: Fulcrum Publishing, with Massachusetts Historical Society. 2010. xxvi + 294. $35. <scp>isbn</scp> 978 1 936218 08 0.
Bibliographic record
Abstract
Few collections of essays that come out of conference proceedings are as tightly organized and as uniformly solid as those in the volume under review here. The conference, ‘John Adams and Thomas Jefferson: Libraries, Leadership, and Legacy’, was held over a week in the summer of 2009 in Adams's Boston and Jefferson's Charlottesville. It was supported by seven institutions of higher learning, each of which is described in brief and insightful entries in ‘Appendix 2: The Institution’. For those of us who were not able to attend the conference, this volume provides a tantalizing taste of what was missed. As Robert C. Baron, one of the co-editors, explains in his introductory essay the volume is about more than Adams and Jefferson: ‘This is a book about two special men and their time. But it is also about friendship, books and libraries, reading, understanding the wisdom of the past, and acting on this knowledge’ (p. ix). The book's twelve chapters are by Beth Prindle, Mark Dimunation, Eric Stockdale, H. J. Jackson, R. B. Bernstein, David T. Konig, Frank Shuffelton, Billy Wayson, Martha J. King, Richard Alan Ryerson, Gregg L. Lint, and Keith S. Thomson, all of whom, along with the editors, have entries in Appendix 1: The Contributors'. Chapters are organized under four section titles: Collecting, Reading, Learning, and Acting.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.117 | 0.077 |
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".