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Record W297190328

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

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

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Context (archaeology)UnemploymentPsychologyMathematics educationOccupational sciencePedagogySociologyMedical educationComputer scienceOccupational therapyMedicineEconomicsHistoryWorld Wide Web
DOInot available

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0130.004
Scholarly communication0.0070.005
Open science0.0020.011
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0300.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.296
GPT teacher head0.500
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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