Bibliography of Natural History Travel Narratives, written by Anne S. Troelstra
Bibliographic record
Abstract
Hb, €225.Anne S. Troelstra's large and impressive reference work is a useful guide to a particular kind of travel narrative: "a chronologically ordered story of travel, located more or less precisely in time, in which natural history observations and the collection of natural history objects play an important part" (9), with "natural history" taken to include botany, zoology, mineralogy, and geology, but not ethnology.Troelstra, a guest researcher in the special collections of the University of Amsterdam library and an emeritus professor of mathematics at the same institution, here catalogues many hundreds of such texts in their various editions and translations-primarily books but also a small number of article-length narratives-from the mid-sixteenth to the twenty-first century.Arranged alphabetically by author, the entries offer concise sketches of the writers' lives and travels, a comprehensive list of the editions and translations of their narratives, and, in most cases, a short list of sources where scholars can find more biographical information.Entries range from less than half a page for relatively minor figures with few publications to considerably longer for well-known and influential authors.Charles Darwin, for example, merits seven and a half pages.As Troelstra himself acknowledges, completeness in this sort of endeavor is inevitably out of reach.Natural history travel narratives have appeared in great numbers over the centuries, and physical copies are scattered around the world, making personal inspection of every edition of each text impractical for a single person.Troelstra instead mostly bases his bibliography on internet sources such as library catalogues and scanned books.This choice obviously allows inclusion of far more works than would otherwise be possible, but also makes the data less than entirely reliable.In Troelstra's own example, webbased catalogues often do not contain complete information, and sometimes contradict each other, meaning that this volume "cannot match a bibliography solely based on autopsy" (7).A second limitation the author acknowledges is his own linguistic ability.Writes Troelstra in the volume's introduction, "the coverage of publications in French, English, German and Dutch is good; in Portuguese, Spanish, Italian and the Scandinavian languages at least fair; the coverage of editions in other languages is fragmentary" (9).In a work of such ambitious scope, these limitations are understandable and do not, in this reviewer's opinion, outweigh its usefulness.It would no doubt be easy for some specialists of particular periods or linguistic traditions to identify texts that
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.012 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".