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Student Poster Session - Applying occupational science views of context to an independent study of unemployment: One student’s understandings

2013· article· en· W297190328 sur OpenAlexaboutno aff
Courtney L Robinson, Rebecca M. Aldrich

Notice bibliographique

RevueCommonKnowledge Research Repository (Pacific University Oregon) · 2013
Typearticle
Langueen
DomaineHealth Professions
ThématiqueOccupational Therapy Practice and Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSession (web analytics)Context (archaeology)UnemploymentPsychologyMathematics educationOccupational sciencePedagogySociologyMedical educationComputer scienceOccupational therapyMedicineEconomicsHistoryWorld Wide Web
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This poster communicates how understandings about context were presented in an occupational science course and applied to a student’s independent study of unemployment the following semester. According to the OT Practice Framework II, “context is a variety of interrelated conditions within and surrounding the person that influence performance” (AOTA, 2002, p. 645). For this project, observations and interviews at a non-profit organization were used as the basis for applying understandings about context. The project occurred in spring 2013 and was part of a larger study of long-term unemployment in the United States and Canada. This project revealed what contexts are most significant in experiences of unemployment as described in interviews with people who are unemployed. Data collection is still ongoing, but preliminary findings suggest that the social and personal contexts are most significant in this experience.\nSocial context consists of the different relationships, organizations, and expectations of populations that define the different roles and responsibilities that impact a person (AOTA, 2008). One study participant explained how his relationships had changed after he had become unemployed. He said he now has to depend on friends and public buses for transportation since his wife divorced him and took his truck in the settlement. His dependence on others for transportation was part of his transition from being a self-sufficient worker to being an unemployed man who relies on others. Personal context also plays a role in experiences with unemployment. Personal context includes “a person’s age, gender, socioeconomic status, and educational status” (AOTA, 2008, p. 645). The same participant discussed looking for a job, earning his GED, and maintaining economic stability through the use of food stamps and social security checks. Specifically, he explained the continuous cycle of having to put off taking GED classes in order to look for a job and jobs not want to hire him because he does not have his GED. Overall, personal and social contexts were both important to analyzing the participant’s life because they were expressed as foundations for identity and the way the participant interacted with the world.\nThis case study contributes to occupational science by showing how students learn to see people through an occupational lens. Through an occupational lens, students can analyze aspects of a person’s context to see how it influences occupational identity. According to Unruh (2004), Christiansen’s “concept of occupation as identity [shows] that self-identity [is] closely related to what we do” (p. 291). Occupational identity is an important consideration within unemployment experiences because job loss tends to affect identity. According to Yerxa (1998), “people who are unemployed and have no organized leisure often become depressed, losing their sense of identity and purpose in life as well as their health” (p. 415). Poster discussion will focus on how such occupational science understandings opened the first author’s eyes to the contextual factors that influence identity and occupation during unemployment. The discussion aims to demonstrate the value of undergraduate occupational science educational experiences.\nKey words: context, occupational science, education

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)0,005
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,386
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,001
Communication savante0,0000,001
Science ouverte0,0020,002
Intégrité de la recherche0,0000,001
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 Opus0,296
Tête enseignante GPT0,500
Écart entre enseignants0,204 · 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.

Devis d'étudeObservationnel
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
Publié2013
Routes d'admission1
Résumé présentoui

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