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Enregistrement W1976601246 · doi:10.1353/aad.2006.0010

Education of the Deaf and General Motors

2005· editorial· en· W1976601246 sur OpenAlexaboutno aff
Donald F. Moores

Notice bibliographique

RevueAmerican annals of the deaf · 2005
Typeeditorial
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovation and Knowledge Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDeaf blindPsychologyDeaf educationSign languageManual communicationAudiologyLinguisticsMedicine

Résumé

récupéré en direct d'OpenAlex

Recently, I have been doing some reading about the success and failure of businesses and the various opinions that have been offered to explain how some of our largest corporations find themselves in unexpected difficulties, sometimes to the point of collapse, while others, apparently, are thriving. The situation seems to exist across a variety of economies and in different economic sectors. In the United States there are several examples. Many major airlines have declared bankruptcy, or are on the verge of doing so, because of their inability to respond to the challenge of leaner, more inexpensive, airlines. Walmart is constantly expanding into new markets, to the detriment of existing companies unable to respond to the challenge. In countries from the United States to France to Japan governments provide subsidies to farmers to protect certain crops from cheaper foreign competition. Sometimes the problem is not cost, but overproduction. The U.S. government pays agricultural concerns money not to produce certain foods. Perhaps the best known example of current problems is General Motors. Although it is not in any present danger of bankruptcy, it recently cut several thousand jobs and announced plant closings in the United States and Canada. Among the reasons given for the problems faced by General Motors, as well as numerous corporations in North America and Western Europe, is that the highly paid workforce cannot produce products as cheaply as less well-paid, but skilled, workers in developing countries. This may be true to some extent, but it does not account for the whole picture. It has been pointed out that Toyota, for example, employs American workers in American plants to produce cars more efficiently and at less cost than the Americanowned car-makers. In fact, Toyota has announced plans to build plants in the United States at the same time that General Motors is closing theirs. This is the case even though there are several major corporations (not Toyota obviously) that are facing the same difficulties in Japan as General Motors is in North America. The argument has been made that many of the huge global conglomerates are operating under an out-dated, self-defeating management style that presumes that superior management can always anticipate and control change. In their press for stability and continuity they placed too much reliance on formal planning and have paid a heavy price for it. There is a growing belief that change cannot always be anticipated and managed, but rather that businesses will face disruptive changes that could destroy them unless successfully countered. Rapid response is more important than attempting to plan for every contingency. Business is chaotic and unforgiving, and changes cannot always be managed; they must be grasped or die. The situation also pertains to organizations outside of the business world. Hurricane Katrina exposed severe bureaucratic inefficiencies at the state and federal levels. The Federal Emergency Management Agency (FEMA) exhibited both a lack of planning to anticipate the disaster and an inability to respond quickly and effectively to the unexpected crises that arose, resulting in unnecessary death and destruction. Although the education of deaf students may not face catastrophes such as Hurricane Katrina, we are constantly encountering unanticipated new challenges, opportunities, and developments, and our responses have not always been effective. Several examples come to mind. In the spring of 1988 Gallaudet University erupted in protest over the selection of a hearing president and the ensuing Deaf President Now movement culminated in Gallaudet's first deaf president. …

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: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,196
Score d'incertitude au seuil0,554

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
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 Opus0,014
Tête enseignante GPT0,277
Écart entre enseignants0,262 · 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
GenreÉditorial

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
Publié2005
Routes d'admission1
Résumé présentoui

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