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Record W7019441976

Fractured: A Study of Intraprofessional Paramedic Dynamics on Professionalization in Ontario, Canada

2022· dissertation· en· W7019441976 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2022
Typedissertation
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsProfessionalizationEthosGovernment (linguistics)Qualitative researchVariety (cybernetics)Dynamics (music)SkepticismConceptual frameworkDisciplineContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Despite documented threats and challenges to professional workers, occupations and professions of all kinds remain motivated to pursue professionalization projects aimed at improving their social location. However, to drive professionalization from within an occupation means resisting or adapting to a variety of pressures from other professions, managerial organizations, and neoliberal government agendas. Emerging research has highlighted that some professions can adapt to or resist these pressures, while others falter. How intraprofessional dynamics impact professionalization in these conditions is less understood. This thesis aims to address this gap through a qualitative case study of paramedic professionalization in Ontario, Canada. Data from interviews with paramedic leaders and a document analysis were used to examine how intraprofessional dynamics have impacted paramedic professionalization. Drawing on various theoretical and conceptual threads from neo-Weberianism and neo-institutional theory, each empirical chapter examines a topic related to professionalization: regulation, higher education, and expansions in work. The findings of each chapter reveal widespread intraprofessional stratification, and at times, conflict. Some paramedic leaders are driven to improve paramedic status, recognition, and autonomy, however, must do so in increasingly flexible, collaborative, and subtle ways. While intentional stratification is at times pursued as an innovative strategy in response to organizational and government pressures and mandates, it comes at a cost to professional unity. Others are resistant or skeptical of professionalization that may change the physical, boots-on-the-ground ethos of frontline paramedics. The finding of this thesis sheds light on the intraprofessional dynamics of an understudied occupation and how they relate to contemporary scholarly debates about the processes and outcomes of contemporary professionalization.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.3320.000

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 head0.036
GPT teacher head0.360
Teacher spread0.324 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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