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Enregistrement W266181346

Some Reflections on the New Media and Lesser Used Languages

2012· article· en· W266181346 sur OpenAlexaboutno aff
Dónall Ó Riagáin

Notice bibliographique

RevueJournal on Ethnopolitics and Minority Issues in Europe · 2012
Typearticle
Langueen
DomaineComputer Science
ThématiqueDigital Communication and Language
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPower (physics)HistoryTelecommunicationsMedia studiesAdvertisingBusinessEngineeringSociology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Scientific or technological inventions are neither good nor bad in themselves. It is how they are used by us that makes them either good or bad for humankind. Nuclear power immediately springs to mind as a classic example. Man's ability to fly is another. Aircraft can be used to transport people and goods from one place to another in double-quick time. Or, as we have witnessed all too often, aircraft can be used to drop bombs, kill and maim people, and destroy cities and towns.The development of information and communication technology (ICT) is undoubtedly the biggest scientific breakthrough in our lifetime. When I started working in the pre-computer age, international telephone calls, fax messages, airmail, telex, and even telegrams were the fastest way to communicate with people in other countries. Even with airmail, it could take a letter some weeks, rather than days, to reach its destination. Last night I sent an e-mail to a friend in Kalmykia in the North Caucuses. A reply was awaiting me this morning. To make a telephone call away from home or office in the pre-mobile age one had to use a public telephone and insert coins in the slot. We can now turn on our televisions and, thanks to satellites, enjoy a wide range of channels, some from the other side of the world. With Skype we can speak to and see our friends even if they live thousands of kilometres away on other continents.How these new media are affecting society is an ongoing process and one which no one can accurately forecast. It is said that the recent revolutions in Egypt and Libya were impossible to stop because the revolutionaries were able to communicate with each other and plot their next moves using text messages, e-mails, mobile phones, etc. One could suspect that neither President Mubarak nor Colonel Gaddafi foresaw what was coming down the tracks because of new communications technology.Language is an essential factor in practically all communications, be they oral, aural, or written. Modern media were developed primarily in highly developed countries in the West and in Japan. The first major consumers of these developments were again the more affluent developed counties, e.g. the USA Western Europe, Canada, Australia, Japan, etc. A few languages were set to benefit from these media developments early on, especially English.David Crystal argued in his 2001 work Language and the Internet1 that, rather than technospeak becoming dominant on the internet, English-different varieties of it-was coming to dominate. I found evidence to support his arguments in some Russian universities. Whereas in the old Soviet period every effort was made to ensure that a wide range of foreign languages were studied, I found very striking evidence that English was becoming by far the most sought after foreign language. When I enquired about the reason for this, I was told that the internet was the answer. Many of the universities could not afford to buy a lot of books published in the West, but with the internet, students could access virtual libraries, resumes of new works, etc.-in English.A lot has changed over the past decade. On the internet site Internet World Stats we find that by 2010, English language websites had an estimated 536.6 million users, whereas Chinese websites then had 444.9 million users. A number of other languages (e.g. Spanish, Japanese, Portuguese, German etc.) also had many millions of users. Thousands of languages can now be found on the internet, including many lesser used ones.What will the long-term effect of all this have on lesser used (minority or regional) languages? Will modern media drive a series of nails into the coffins of these languages? In my opinion, this will depend almost entirely on how the users of these languages employ modern media. As already observed, technology is neither good nor bad in itself: everything depends on how we use it. All the evidence suggests that users of lesser used languages are making use-often in very creative ways-of new communications technologies. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,042
Score d'incertitude au seuil0,139

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,015
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,006
Études des sciences et des technologies0,0110,044
Communication savante0,0310,057
Science ouverte0,0020,011
Intégrité de la recherche0,0100,018
Charge utile insuffisante (le modèle a refusé de juger)0,0420,007

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 Opus0,076
Tête enseignante GPT0,361
Écart entre enseignants0,285 · 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 source (Gemma direct ou Codex distillé), 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
GenreCommentaire

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

En bref

Citations3
Publié2012
Routes d'admission1
Résumé présentoui

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