The Secret and Curious Histories of Wonder Woman & Wonder Woman, a multiple book review:
Bibliographic record
Abstract
Any search for references on « Wonder Woman » 1 would show hundreds of articles but only 3 or 4 « serious » books.After the brief, yet forerunning, references in Trina Robbins's various books on Women and Comics 2 , in 2000, Les Daniels, one of the greatest fans-specialists of comics, published Wonder Woman, the Complete History (San Francisco Chronicle Books).Although the text is interesting, Daniels' book is first and foremost useful for its many gorgeous illustrations.The text is relatively short compared to the number of pages (1/4 of the 200 pages).When published, it contained some new information about WW, but it would be now considered a good introductory summary with excellent pics.It covers a long period from its very beginning, 1942, to 2001 (overleaf: Painting by Alex Ross for « Wonder Woman, Strength of Will », p. 201).This is a very useful and beautiful book to have in your library containing many visual documents (from the comics of all periods of course but also from TV series, movies, advertising, tie-ins), organized by periods and themes, with precise legends, that are not always easy to find even in the Age of internet.The distinction between Wonder Woman (the comics) and Wonder Woman (the icon) found in Daniels' work is a pertinent one since most of the books and articles are about the icon rather than the comics itself as emphasized also by Berlatsky (see the last part of this book review).
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".