Bibliographic record
Abstract
This year, at the American Physical Therapy Association's Combined Sections Meeting (CSM), the Academy of Cardiovascular and Pulmonary Physical Therapy showed once more to be a meaningful community. As usual, we gathered to learn from clinicians, researchers, and educators who keep our profession (and the cardiopulmonary specialty) alive. Combined Sections Meeting delivered excellent presentations, from educational sessions to platform presentations and posters. However, it was the sense of community around the Academy what was the highest point at CSM. First, we celebrated the 50 years of the Academy. Second, we welcomed a new Academy President, Dr. Ashley Parish and we tanked Dr. Angela Campbell for her 2-term presidency. Finally, and by far the most impactful, we raised awareness about domestic violence celebrating the life and accomplishments of Dr. Christa Nicole Bauer, who received the Clinical Excellence Award. It was an emotional moment that will be remembered for ever. In this issue, we are closing our special issue on long-COVID with a few articles that were not ready for production by the January's issue. First, Dr. Del Carpio-Orantes, from Veracruz-Mexico, found our special issue on long-COVID very interesting,1 especially the case report by Wright et al.2 where they treated their patient with enoxaparin. Second, Goosen et al.3 used wearable devices to help patients with long-COVID to pace themselves. Then, Lopes Sauers et al.4 performed a systematic review to determine the outcome measures used in patients with long-COVID 1 year after the pandemic. In addition, McDuff et al.,5 from the Physio International Forum, present here the priorities for research, education, clinical practice, and policy that should be addressed for patients with long-COVID. Finally, 2 research reports not related to long-COVID close this issue. Gabison et al,6 from Dr. Reid's group in Canada, studied the muscle recruitment in the neck and abdomen during different respiratory exercise to help patients recovering from mechanical ventilation. And Wu et al.7 performed a very elegant study to determine the association between different genotypes of cystic fibrosis and muscle function, supporting resistance exercise training in these patients. The great work presented in this issue and the impact that our profession and our Academy have confirm an extraordinary sense of belonging: belonging to a Meaningful Community.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".