Children and parents: media use and attitudes report. Research document
Notice bibliographique
Résumé
12-15s.Two per cent of 8-11s and 1% of 12-15s say they have been bullied through online games, and 1% of 12-15s via photo message or video, or via telephone calls. Parental concerns and mediation TV concerns and mediationConcerns about TV and gaming content have decreased among parents of 3-4s since 2014 Compared to 2014, parents of 3-4s whose child uses each medium are less likely to be concerned about television content (13% vs. 22%) and gaming content (9% vs. 15%), with no change for online content (12% in 2015).Concerns among parents of 5-15s remain unchanged, with 25% saying they are concerned about online content, followed by television content (22%) and gaming content (21%).About a quarter of parents of 8-15s, or fewer, have concerns about their child's mobile phone use, with little variation by the age of the child. Fewer parents across all age groups are very concerned about pre-watershed television content than in 2014Parents of children in each age group from 3 to 15 whose child watches television are less likely than in 2014 to say they are very concerned about what their child has seen on television before the watershed, with overall concern now standing at one in ten parents of 3-4s (10%) and two in ten parents of 5-15s (20%). Younger children are more likely than in 2014 to have parental controls set on the TVChildren aged 3-4 (48% vs. 36%) and 5-7 (60% vs. 50%), in households where the child watches television on a television set, are now more likely than in 2014 to have parental controls set on their television service. Controls on TV services have also increased for older children since 2005In 2005 25% of parents whose children watched TV had set controls to restrict access to certain channels (25% parents of both 8-11s and 12-15s).In 2015 more than half (57%) of households with children aged 5-15 who watch TV have PIN controls to restrict access to particular channels or types of programmes, with this more likely among parents of 8-11s (61%) than parents of 12-15s (50%).This increase is likely to be linked to the increase in take-up of cable and satellite TV services, for which access controls are more likely to be set. Online concerns and mediationConcerns about collection and use of children's personal information, and about advertising, are higher than or similar to those about content In 2015 at least three in ten parents of 5-15s whose child goes online say they are concerned about companies collecting information about what their child is doing online (34%) or about their child giving out personal details online to inappropriate people (32%).A quarter of parents of 5-15s whose child plays games are concerned about the amount of advertising in games (24%) with one in five (21%) concerned about their child feeling pressured to make in-game purchases.In 2015 most parents agree they know enough to help their child to manage online risks Half of parents of 3-4s who go online (51%) and nearly two-thirds of parents of 5-15s (65%) agree that the benefits of the internet outweigh the risks, and around four in five parents of 3-Aged 5-15 Aged 5-7 Aged 8-11 Aged 12-15 Aged 3-4
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 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 ».