Christoph Irmscher and Richard J. King (eds.), Audubon at Sea. The Coastal and Transatlantic Adventures of John James by Ian Dew
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord both chronologically and in terms of their location in the text.Less happily, a number of Wrens are introduced further on in the book, but the author still goes right back to the beginning for that individual.So, for example, we will read yet another account of training at Greenwich whose location in the text is many chapters away from the others.Understandably, chronology starts to become difficult.Even hemispheres are displaced in this manner: on the second page of Chapter 18, "Last Acts in the East," dealing with the Pacific theatre, we are introduced to a Wren who acquired her particular specialty analyzing U-boat transmissions.The reader is thus forced back to the Atlantic for a few paragraphs, for no compelling reason, before returning to the Pacific.Rather than a lack of organization, I think the problem lies with the author's reluctance to leave anything out of the anecdotal accounts recorded for posterity by the Wrens in question.While a praiseworthy sentiment, it has the unfortunate result here, of more than a little bit of repetition -work with oscilloscopes, for example, is described on at least three separate occasions.I think it is fair that the editorial staff share some of the blame.Hore's goal of integrating the recollections of women who worked in wartime signals intelligence with the broader picture is worthwhile, but I think others have done it better.For example, I would recommend Tessa Dunlop's The Bletchley Girls (London: Hodder & Stoughton, 2015) and Michael Smith's The Debs of Bletchley Park (London: Aurum Press, 2015).For those more interested in the role of women in the specifically naval side of wireless intelligence, there is really no alternative at present to Bletchley Park's Secret Source, but the prospective reader must be prepared to accept writing and editing that are less than first-rate.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.031 |
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".