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Record W2996374890 · doi:10.1177/0008417419892712

Occupational Therapists as Street-Level Bureaucrats: Leveraging the Political Nature of Everyday Practice

2019· article· en· W2996374890 on OpenAlexaffvenue
Rebecca M. Aldrich, Debbie Laliberté Rudman

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
Fundersnot available
KeywordsFraming (construction)Occupational therapyPoliticsDiscretionPublic relationsNegotiationBureaucracySociologyFront linePsychologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

BACKGROUND.: As front-line service providers who often work in systems regulated by governmental bodies, occupational therapists can be conceptualized as "street-level bureaucrats" ( Lipsky, 1980/2010 ) who effect and are affected by policy. PURPOSE.: Drawing on understandings from a study of long-term unemployment, this article proposes that occupational therapists, as street-level bureaucrats, respond to inter-related policies and systems in ways that can perpetuate, resist, or transform opportunities for doing and being. KEY ISSUES.: By highlighting practitioners' everyday negotiation of governmental, organizational, and professional power relations, the notion of street-level bureaucracy illuminates the political nature of practice as well as the possibilities and boundaries that policy can place on ideal forms and outcomes of practice. IMPLICATIONS.: Framing occupational therapists as street-level bureaucrats reinforces practitioners' situatedness as political actors. Mobilizing this framing can enhance awareness of occupational therapists' exercise of discretion, which can be investigated as a basis for occupation-focused and emancipatory forms of practice.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.248
GPT teacher head0.518
Teacher spread0.271 · 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 teacher head, not a consensus.

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

Citations23
Published2019
Admission routes2
Has abstractyes

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