“Mother” in Aytül Akal’s Stories within the Context of Social Gender Perception
Notice bibliographique
Résumé
Just as many factors are of question in one’s identity, so is the way to present the characters in literary books. Presentation of characters on equality basis is very important so that democratic culture and human rights related values are acquired. In this study, mother image fictionalized by Aytul Akal in her stories of children is dealt with in terms of social gender. The study was conducted through document analysis design. We have reached and examined all of the story books written by Aytul Akal for children. Nine of these books were written by Aytul Akal herself while only two in cooperation with Mavisel Yener. The data were collected based on studies on social gender and researches on quality of children’s books during literature review then the data collected were classified for archival reasons while they were classified for purpose of record. Secondly, story books written by Aytul Akal for children were examined and the image of father and mother were encoded and recorded by two researchers and one qualitative research specialist. The data analyzed descriptively were exposed to content analysis for detailed information. As a result, it was found that the character attributes on image of mother in Aytul Akal’s works were closely related with her roles in home and work life. Since mother was as someone dealing with home work, children and work, from time to time she experienced difficulties. This shows that traditional image or understanding of mother in the stories did not essentially change and the workload of mother was stable while her work outside home increased. The present study aims to assess the mother image in Aytul Akal’s stories based on the social gender perspective.
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 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 | 0,001 | 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».