Book Review: <i>Unspinning the Spin: The Women’s Media Center Guide to Fair and Accurate Language</i> , by Rosalie Maggio
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Unspinning the Spin: The Women's Media Center Guide to Fair and Accurate Language. Rosalie Maggio. Washington, DC: WMC Press, 2014. 543 pp. $30 pbk. $14.99 ebk.To help everyone understand and be understood is the ambitious goal of the first publication from WMC Press, Unspinning the Spin: The Women's Media Center Guide to Fair and Accurate Language, by Rosalie Maggio. The preface is written by Gloria Steinem and Robin More, former Ms. magazine editors and fellow co-founders (along with Jane Fonda) of the Women's Media Center, which was started in 2005 with a mandate to make women visible and powerful in the media.Rosalie Maggio is an established author of writing and how-to guides, including The Bias-Free Word Finder: A Dictionary of Nondiscriminatory Language and How to Say It: Choice Words, Phrases, Sentences & Paragraphs. Unspinning the Spin is meant to be more than a guidebook, however. In addition to serving as a primer and thesaurus of inclusive language, it also provides encyclopedia style capsules delving into the history of both biased words and phrases, and of important events and concepts in the ongoing struggles for gender, race, and class equality in the United States.The promotional literature markets the book to both media producers (journalists, bloggers, students, communications professionals, et al.) and the consumers of that media. Unspinning the Spin draws from and brings together in one volume materials from issue-specific writing guides, including The Handbook of Nonsexist Writing (Miller & Swift), Uprooting Racism: How White People Can Work for Racial Justice (Kival), Weasel Words: The Dictionary of American Doublespeak (Wasserman & Hausrath), and The AP Stylebook.This book is most aptly described as a compendium, with the wide range, eclectic content, and uneven degree of detail that term implies. The entries range from succinct guidelines, such as broad (woman) no and Jew boy completely offensive to 500+ word essays on topics such as political spectrum, disabilities, and torture. The content is arranged alphabetically, with cross-referencing to related terms.The how-to nature of this publication is clear from the get go, as the introduction does double-duty as a writing guide. Maggio here, for example, advises against using gendered suffixes, like those in waitress and heroine, arguing that such endings perpetuate the notion that the male form is the norm, the female a subset. She explains how and why to avoid pseudo-generics such as he and mankind. The Introduction also includes definitions of key terms, like bias, gender, and sex. It ends with a cogent discussion on the ephemeral nature of language and with convincing rejoinders to those who object to bias-free and inclusive language as unimportant, non-traditional, and/or impossible to keep up with. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle