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Record W2013510525 · doi:10.1017/s1460396908006328

The scholarly radiation therapist. Part two: developing an academic practice—the Princess Margaret Hospital experience

2008· article· en· W2013510525 on OpenAlexaffabout
Amanda Bolderston, Nicole Harnett, Cathryne Palmer, Julie Wenz, Pamela Catton

Bibliographic record

VenueJournal of Radiotherapy in Practice · 2008
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsScholarshipRadiation TherapistSpecialtyScope (computer science)Variety (cybernetics)Clinical PracticeMedical educationScope of practiceMedicinePsychologyEngineering ethicsNursingComputer sciencePolitical scienceRadiation therapyFamily medicineEngineeringHealth care

Abstract

fetched live from OpenAlex

Abstract Part two of this two-part series presents the results of a departmental initiative implemented in 2003 at a large urban cancer centre, Princess Margaret Hospital (PMH) in Toronto, Ontario, Canada. This new model for radiation therapists was called Advanced Integrated Practice (AIP) and was developed, in part, to encourage and promote scholarship within radiation therapy. The AIP model incorporated integrated clinical specialty roles designed to blend exemplary clinical practice with focused academic activities. This paper discusses an evaluation of the AIP model undertaken to obtain a formal measure of how the model had evolved, how the radiation therapists and other stakeholders were responding to the new model, whether the initial outcomes were realized and to create plans for further development of the design. The evaluation utilized a mixture of traditional qualitative research methodologies such as focus groups, quantitative surveys and a variety of other available measurable outcomes. Outcomes from the model included increased opportunities for diverse roles that incorporated an element of academic practice and augmented career choice and scope for radiation therapists. In addition, academic output and research work also increased within the department. Lessons learned from the implementation and evaluation of the model are shared, and the authors offer some suggestions to increase scholarly activity within the profession.

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)0.006
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.006
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.401
Teacher spread0.373 · 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 designNot applicable
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

Citations17
Published2008
Admission routes2
Has abstractyes

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