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Record W2010964372 · doi:10.1177/030802260106401109

Graduate-Entry Master's Degrees: Launchpad for Occupational Therapy in this Millennium?

2001· article· en· W2010964372 on OpenAlexaboutno aff
Shelley Allen, Jenny Strong, Helene J. Polatajko

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersQueensland GovernmentUniversity of Queensland
KeywordsEntry LevelBachelorGraduate degreeOccupational therapyAllied health professionsContext (archaeology)Medical educationMedicineGraduate studentsDegree programGraduate educationPolitical scienceHealth careGeographyPhysical therapy

Abstract

fetched live from OpenAlex

Trends in occupational therapy education worldwide are towards the increasing educational preparation of graduates. Initially, entry into the occupational therapy profession was gained via a brief course, followed by a diploma, and then later with a bachelor's degree. Most recently, graduate-entry master's degree programmes have been introduced as an alternative entry into the profession. With the introduction of four graduate-entry master's degree programmes in Canada and Australia and one in the United Kingdom since September 1998, and the planned introduction of other programmes in these countries, it is timely to review the history and context of the graduate-entry programmes. The imperatives leading to the introduction of graduate-entry master's degree programmes include the increased qualification base of applicants, the need for practitioners to be evidence based and the concurrent so-called qualification creep of other health professions. The data from the first two cohorts of Australian students who commenced the graduate-entry Master of Occupational Therapy Studies programme at the University of Queensland are presented. Some similarities between these Australian students and the Canadian students are noted. The benefit of master's degree entry programmes to the profession is seen as an increased pool of highly skilled practitioners who will contribute to the research base of the profession. Conclusion Graduate-entry master's degree programmes have received an impetus from the international trends to increase the educational levels of health practitioners and for universities to adapt to global changes. Preliminary examination of the student profiles suggests a richness of experience in students coming into these university courses. The availability of such programmes has permitted more qualified and mature-aged students to enter the profession. These students have chosen a career path consistent with their values, competencies and goals. The availability of applicants with suitable pre-existing qualifications and attributes has benefits for the profession. Curricula need to accommodate and further develop these competencies and to prepare graduates for increasingly diverse areas of practice. The introduction of these programmes has created the opportunity to produce occupational therapists with research capabilities that can strengthen the practice base of the profession. These positive indicators need careful monitoring to ensure that the potential becomes a reality for the profession. It is contended that graduates from graduate-entry master's degree programmes in occupational therapy will be better equipped to meet the professional challenges of the 21st century. They will bring to the profession a solid grounding in liberal arts or science. They will be able to embrace rapidly the tradition of the scientist-practitioner (Polatajko and MacKinnon 1987). It will be interesting and important to follow the trajectories of these graduates beyond lift-off! It is suggested that a longitudinal study which tracks their career progression, career choice and research productivity be undertaken.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0070.009
Open science0.0010.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0310.006

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 head0.425
GPT teacher head0.502
Teacher spread0.076 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations19
Published2001
Admission routes1
Has abstractyes

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