Bibliographic record
Abstract
The practice of physical therapy is quickly advancing and moving into new realms. This is an exciting period of growth and development in our profession, and the changes in health care delivery, social demographics, and globalization of health care are perfect opportunities for physical therapists to take on new and emerging roles in our health care system and to provide leadership in the field. As the profession forges ahead, a question arises: Is it time to discuss the idea of a “clinical doctorate” as the requirement for entry level to practice? A clinical doctorate (or “practice doctorate”) programme is an entry-level degree that prepares students with the competencies required to enter clinical practice and become eligible for licensure.1 In physical therapy, this is often called the Doctor of Physical Therapy (DPT) degree; it differs from a PhD, where the focus is on research and the production of original scholarly work, and from a “post-professional doctorate” or “advanced practice doctorate,” which offers study in advanced or specialized clinical competencies to professionals who have graduated with another entry-level qualification, such as a bachelor's or master's degree. The title “doctor” is used across many health care professions in Canada. Physicians and surgeons, chiropractors, dentists and dental surgeons, podiatrists, optometrists, naturopaths, and veterinarians all require a doctoral degree for entry to practice. Common themes that have been identified across these professions include autonomy in practice, knowledge of research, a specific number of credit hours required for the programme, and a specific number of clinical hours required. Some professional programmes also require that the student complete a residency prior to full licensure.1
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.028 |
| Scholarly communication | 0.019 | 0.033 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.017 | 0.040 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".