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Enregistrement W2183678104

See Spot Run? The Dogs in the Workplace Debate

2015· article· en· W2183678104 sur OpenAlexaboutno aff
Paul E. Olsen

Notice bibliographique

RevueJournal of case studies · 2015
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHuman-Animal Interaction Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPuppyService (business)Work (physics)Human servicesAgency (philosophy)Public relationsEconomic JusticeBusinessPsychologyMarketingPolitical scienceSociologyLawEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

other words, they [pets] make us feel betted--Sable, 2013, p. 94. Tony Treanor, Director of Human Resources at Northwestern Counseling & Support Services (NCSS), was faced with making an important policy decision. Employees at his Vermont-based nonprofit human services agency wanted to bring to work. At different times clients and staff have wanted to bring pets into our facilities, he said. Treanor, a pet owner himself, was open to the idea but was concerned about the consequences of allowing in the workplace. For example, would all employees and clients welcome at NCSS? How would people who fear or are allergic to react to in the workplace? NCSS currently didn't have a written policy addressing the issue. We do not have a policy but, as a rule, we allow pets in the workplace, Treanor noted. That is by choice with us so that we can bend as we may need or want to. Treanor added that employees had, on occasion, brought a new puppy or dog to work if they had a veterinary appointment during the workday. Confounding the issue was that service had long been permitted at NCSS. The Americans with Disabilities Act (ADA) required that service be permitted where the public is allowed. The U.S. Department of Justice (DOJ) defines service as dogs that are individually trained to do work or perform tasks for people with disabilities (ADA Requirements, 2011). DOJ guidelines made a distinction between service and pets characterizing service as trained working animals that provided a service not merely comfort or emotional support. Should Treanor continue with no official policy, adopt a policy permitting dogs, or should he adopt a written policy prohibiting them? Should he maintain the current distinction between service and pets? Adopting an informal don't ask, tell policy on at work was also an option. Concerned with maintaining good employee morale, Treanor researched the issue of in the workplace in order to make a recommendation to members of the NCSS leadership team. Northwestern Counseling & Support Services Founded in 1958, NCSS was a private nonprofit human services agency whose mission was to ensure that the residents of Franklin and Grand Isle Counties have access to high quality services, which promote healthy living and emotional well-being (Northwestern, 2015). NCSS provided over 75 community mental health programs to children, adolescents, and adults in Northwestern Vermont near Lake Champlain and the Canadian border. These programs were designed to help Vermonters with behavioral or emotional problems; mental and/or developmental disabilities; autism; and substance abuse problems. Services were provided in schools, homes, at a family center in St. Albans, Vermont, and at a parent-child center in Alburg, Vermont. The agency's administrative offices were located in St. Albans. NCSS was accredited by the Commission on Accreditation of Rehabilitation Facilities (CARF), an independent accreditor of health and human service agencies. In fiscal year 2013, NCSS had a budget of $32 million and had 505 employees-300 of which worked off site in the community. NCSS's budget was spent on Developmental Services (41%); Children, Youth and Family Services (39%); Adult Behavioral Services (16%); Crisis Services (4%); and Administration ( Pet Ownership Americans love pets. In 2012, sixty-two percent of U.S. households (164 million) had at least one pet. Forty-seven percent had at least one dog while 46% had at least one cat (Humane Society, 2013). Additionally, Herzog (2010) reported that in 2009, Americans shared their homes with 15 million birds, 14 million reptiles, 16 million small mammals, and 180 million fish. …

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,155
Score d'incertitude au seuil0,201

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
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 Opus0,055
Tête enseignante GPT0,392
Écart entre enseignants0,337 · 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

Citations2
Publié2015
Routes d'admission1
Résumé présentoui

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