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Record W6999665086

Developing a pilot study of social services, sociopolitical discourses, and situated occupational sustainability during long-term unemployment

2012· article· en· W6999665086 on OpenAlexaboutno aff

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedUnemploymentSustainabilitySocial sustainabilityEthnographyService (business)Occupational prestigeFocus group
DOInot available

Abstract

fetched live from OpenAlex

Occupational science evidences timely and growing international interest in unemployment and marginalized unemployed workers (cf. Aldrich & Callanan, 2011; Rudman & Molke, 2009; Shaw, 2011). In that vein, our pilot project aims to ground a research program and generate innovative, cross-national, and interdisciplinary knowledge. The pilot study unites two complementary lines of occupational science research: one which suggests that the need for social services reshapes occupation (Aldrich & Dickie, under review), and another which links occupation to sociopolitical discourse (Rudman & Molke, 2009). The study will examine how situated aspects of social services affect the sustainability of unemployed people’s occupations. Situated aspects of social services include sociopolitical discourses and their geographical origins, and sustainability encompasses the continuity and stability of occupational engagement. Broader research (cf. Lipsky, 2010) has not examined how situated aspects of social services influence occupational sustainability; in the wake of the Great Recession, such knowledge limitations create an opportunity to generate policy- and practice-related occupational science knowledge about the pressing social issue of unemployment.\nThis poster details the conceptual and methodological development of a multi-sited ethnographic pilot study that will commence in early 2013. The pilot study will occur at U.S. and Canadian sites and focus on burgeoning populations of ‘discouraged’ and older unemployed workers. ‘Discouraged’ and older unemployed workers are a growing group of social service recipients; knowledge of their experiences may thus reshape service-related policies as well as approaches to economic recovery. This poster highlights findings from a review of the following information: literature on the needs of ‘discouraged’ and older unemployed workers in the U.S. and Canada; policies and services pertaining to unemployment in the U.S. and Canada at federal, state/provincial, and municipal levels; and cross-national methodologies that link daily life with macro-level contexts. Poster discussion will connect reviewed information to plans for pilot study design and implementation, such as recruitment of 4 participants in each country via social service agencies, unemployment offices, and unemployment “meetup” groups; data collection over 6 months via interviews, participant observation, and questionnaires; and data analysis. The goal of this study is to construct a foundational understanding of how broader social service systems and policies shape occupational engagement.\nObjectives for poster presentation: Receive feedback on study conceptualization and design Exchange ideas and disseminate research with other occupational scientists Explore how the pilot study fosters cutting-edge occupational science research with interdisciplinary potential

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)0.011
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0030.004
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.168
GPT teacher head0.478
Teacher spread0.310 · 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 designObservational
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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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