Physical activity promotion in Spanish adults with spinal cord injury: community guidelines, supporting resources and messaging strategies
Bibliographic record
Abstract
Purpose: The purpose of this study was threefold: (1) to develop spinal cord injury (SCI) physical activity (PA) community guidelines suitable for a Spanish context; (2) to generate seminal resources for supporting PA participation in Spain and, potentially, other Spanish speaking countries; and (3) to identify potential communication strategies for delivering the guidelines and resources. Materials and methods: 19 people with SCI, 4 healthcare professionals, a partnership champion, two critical friends, and two SCI experts participated in a co-designed process of knowledge translation (KT). Available international resources were used as initial prototypes. Focus group discussions, qualitative surveys and member reflections were used to gather relevant insights and action a process of iterative prototyping of the KT products. Results: One infographic, one booklet and two videos were produced. The participants of this research support a model of PA messaging focused on short conversations with a variety of PA messengers, including social workers and occupational therapists. A formal partnership with a neurorehabilitation hospital was established and informed this work throughout. Conclusions: The research has resulted in new resources tailored to Spanish SCI population to promote and support physically active lifestyles.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".