Purposefulness as a critical factor in functioning, disability and health
Bibliographic record
Abstract
Guided by theoretical frameworks of health and illness such as the International Classification of Functioning, Disability, and Health (ICF), we seek to describe the importance of purposefulness in the context of rehabilitation. We argue that ascribing meaning to life events, particularly changes in health, and acting in a manner that is driven by purpose is a universal characteristic of human beings. The ability to contextualize purposefulness within the broader biopsychosocial model of illness may provide a greater understanding of the relationship of purpose in the process of rehabilitation. We support the notion that purposefulness is an ever-present component throughout our lives and it exists as a convergence of personal factors, past experiences, and our personal narrative. Having a sense of purposefulness and being able to understand the meaning of different aspects of our lives is what allows us to find purpose while experiencing a health condition. More importantly, and in the context of rehabilitation efforts, we believe that if purposefulness can be identified or collectively defined by the individual, then rehabilitation outcomes may be enhanced. In a variety of contexts ranging from disease, aging, severe trauma, and even war, purposefulness and its component elements consistently distinguish themselves as being essential for regaining a sense of direction and facilitating one's response to any health condition.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".