Notice bibliographique
Résumé
Silverberg, Cory. What Makes a Baby. Illus. Fiona Smyth. New York: Seven Stories Press, 2012. PrintIn What Makes a Baby, sex educator and author Cory Silverberg tells the story that makes most adults squirm: the story about human reproduction, gestation, and birth. However, this isn’t your typical mythical tale of a growing “flower” or a story about the nuclear family with “mommy and daddy.” Instead, we have some of the real players: egg and sperm cells, uteruses, and human beings.These real baby-making players are playfully illustrated by Fiona Smyth, a Montreal born artist and graphic novelist. In typical Smyth style, What Makes a Baby’s pages are bright and colourful, featuring a lot of purple, hot pink, and blue. Human beings are also full of colour (pink, orange, green, yellow and purple), and in most of the story they are depicted gender neutral –like smiley, vaguely human creatures. This aligns with the book’s premise to be “a book for every kind of family,” as it admirably avoids the temptation to link baby making with traditional notions of femininity and masculinity; the colourful depictions also keep this reproductive story lively and somewhat whimsical.Silverberg’s story further follows a simple, straightforward narrative. He states that some bodies have eggs, some bodies have sperm, and some bodies do not; that some babies are born with the help of midwives and some with doctors; that some babies come out of a vagina and some babies come out by the belly button. The description of eggs and sperm is particularly nuanced, explaining that each cell is made up of stories from the body out of which it came; these “stories” are then shared to become something new. These descriptions promote the book’s mission to represent all kinds of families and people, but they also turn a complicated story into an intelligible one for a young child.However, What Makes a Baby has some pitfalls. Firstly, there is no mention of sexual intercourse. The egg and sperm “swirl together in a special kind of dance,” but there is no other discussion of that first step in how babies are made—the part that is typically the most awkward to explain. Further, the abstract representation of people might be confusing for children, especially as people are drawn differently in the latter half of the book, allowing for a less concrete understanding of what really makes a baby.Thus, this story makes some great strides towards more inclusive and honest discussions of baby-making, but it doesn’t supply the whole picture. This book is ideal for a preschool or elementary school library and would work in concert with other stories on reproduction.Recommended: 3 out of 4 starsReviewer: Jessica ThorlaksonJessica Thorlakson is a Public Services Librarian at the University of Alberta’s H. T. Coutts Education and Physical Education Library. She has a background in English Literature and enjoys little more than reading a good book and drinking some tea.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,072 | 0,039 |
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».