Dove and hawk profiles in youth concussion: Rethinking occupational performance
Bibliographic record
Abstract
BACKGROUND: Youth concussion and its subsequent recovery have been described as heterogeneous; no one injury is the same, and each youth is different in how he or she recovers. PURPOSE: This paper proposes a theoretical perspective on the management of youth with persistent concussion symptoms. KEY ISSUES: When managing concussion within youth, further consideration of person, occupation, and environment factors may provide insight on (a) the differential spectrum of profiles that exist among youth who have experienced a concussion and (b) how these profiles can support client-centred rehabilitation. Passive-dove and active-hawk stress profiles from evolutionary literature will be used to contextualize return to occupational performance. An innovative, novel model-the Dove-Hawk Model of Allostatic Load for Youth With Persistent Concussion Symptoms-is proposed to illustrate these concepts, and approaches to rehabilitation across the spectrum of profiles are offered. IMPLICATIONS: Viewing persistent youth concussion recovery in this way may elucidate different approaches to client-centred rehabilitation.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 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".