Perspectives: FEASTING ON WORDS: HOW I BECAME A WRITER FOR CHILDREN
Bibliographic record
Abstract
ABSTRACT. In this essay I look at the influences that have inspired and shaped my vocation as a writer for children. I credit my interest in writing to an early love of books and the written word, life with my grandparents in an oral culture, and my literary and theatrical activities in middle and high school. When I was a young child and lived with my parents, my love of the written word sprang from a lack of books and a fascination with them. Then, after I moved at the age of eight to live with my grandparents, I thrived on the riches from the strong oral culture that made up their world, in which the spoken word was all important. 'Feasting on words' was the Maasai term my grandparents used for the spoken word and the art of conversation. In middle and high school, I translated my love of the written word, and the love of language I had picked up feasting on words, into budding attempts to write - a basis for my future efforts. I conclude the essay with what it is that I've learned from, and enjoy most about, writing for children. LE REGAL DES MOTS: COMMENT JE SUIS DEVENU AUTEUR POUR ENFANTS RESUME. Dans cet essai, j'analyse les influences qui ont inspire et faconne ma vocation d'auteur pour enfants. J'attribue mon interet pour l'ecriture a un amour precoce des livres et du mot ecrit, a la vie avec mes grands-parents dans une culture orale eta mes activites litteraires et theâtrales a l'ecole secondaire. Quand j'etais jeune et vivant avec mes parents, mon amour du mot ecrit est ne de l'absence de livres et par consequent de la fascination qu'ils exercaient sur moi. Lorsqu'a l'âge de huit ans, je suis alle vivre avec mes grands-parents, je me suis repu des richesses de la puissante culture orale qui etait leur univers et ou le mot parle revetait une importance considerable. «Regal des mots» etait l'expression Maasai que me~ grands-parents utilisaient pour designer le mot parle et l'art de converser. A l'ecole secondaire, j'ai traduit mon amour du mot ecrit et du langage que m'avait procure le regal des mots en tentatives d'ecriture, premiers fondements de mes futurs efforts. Je conclus cet essai sur ce que j'ai le plus appris et ce que j'aime le plus de l'ecriture de livres pour les enfants.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.038 | 0.027 |
| Scholarly communication | 0.022 | 0.012 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.016 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".