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In Canada - Going Bananas

2001· article· en· W230452063 sur OpenAlexaboutno aff
Heather-Jane Robertson

Notice bibliographique

RevuePhi Delta Kappan · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Media and Politics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLegendMythologyGovernment (linguistics)SkepticismPublic relationsSociologyLawMedia studiesPsychologyPolitical scienceHistory
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

EARLIER THIS year, phones at Health Canada were jammed by anxious callers wanting official word on whether bananas carried virus that causes flesh-eating disease. Panicking parents, day-care providers, and even hospital staff members had been exposed to a modern variant of contaminated information - virtual urban legend. Like many other unlikely tales, this banana slander was spread by highest priority e-mails sent from one gullible user to next. Tired of repeating same assurances, Health Canada finally issued an official statement declaring bananas to be innocent victims of a smear campaign. There is little doubt that we seem to park our skepticism at door when dealing with computer-mediated information. If it can be downloaded, it must be true. And if we're vulnerable to technologically distributed myths, what about our susceptibility to myths about technology itself? According to a pair of recent national studies called Young Canadians in a Wired World, Canadian adults are woefully mistaken about what their children are doing online.1 It seems that everyone has bought new urban (and suburban) legend that when students are asked, Where do you want to go today? they actually opt for MIT rather than NBA. The research was conducted in 2000 and 2001 by Environics Research for Media Awareness Network. The Media Awareness Network was founded in 1993 as an information clearinghouse on media violence. Originally a modest spinoff of National Film Board, like many other noncommercial (or even anticommercial) organizations, network soon found its core government funding yanked as budgets were cut. As a result, network has become increasingly dependent on corporate funding provided by cable companies, Internet providers, broadcasting corporations, and disinterested parties like AOL Canada. Predictably, it has shifted away from confronting media violence to pursuing technological preoccupations of its sponsors, which include four departments of federal government. Although it continues to produce high-quality resources for parents and teachers on issues such as protecting youngsters' privacy online, network has steered clear of anything that could be construed as critical of government or corporate behavior - or, for that matter, of anything that could undermine our boundless faith in the promises of technology. The two surveys that make up Young Canadians in a Wired World suggest that youths and their parents have very different ideas about life online. In first study, 1,000 parents were asked about their children's Internet experiences and habits. Eighty-eight percent reported that they were somewhat or very familiar with their child's use of Internet - a figure that might match percentage of parents who think that they know all about their children's experimentation with alcohol, drugs, and sex. The second study asked 6,000 youths between ages of 12 and 17 what they really do online, and how closely their parents are watching. As readers might suspect, parental hubris is alive and well in cyberspace. Ninety-nine percent of youths report that they use Internet, which 79% can access from home. Forty-eight percent of 12- to 17-year-olds go online every day, and 12% stay there more than three hours. Although 65% of parents think that homework dominates their children's Internet use, youths report that they like to use Internet for, in order of preference, playing or downloading music (57%), sending e-mail (56%), and surfing for fun (50%). Forty-eight percent play games online, while only 38% turn to Internet for help with homework. Although 41% of youths use instant messaging, fewer than 4% of their parents are aware of it. High school students are likely to have 30 people on their instant messaging list, 10 of whom they have never met. Kids are cyber-shoppers too, with 21% of high school boys claiming to have made online purchases. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,927
Score d'incertitude au seuil0,396

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,032
Tête enseignante GPT0,307
Écart entre enseignants0,275 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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