Interdisciplinary Research in Rehabilitation and Traumatic Brain Injury : New Theoretical and Clinical Perspectives
Bibliographic record
Abstract
Message from the Scientific Directors ; Introduction ; SECTION ONE : Moderate to severe traumatic brain injury\nPART I : Current state of knowledge - 1. Visual information processing in adults with traumatic brain injury, by Julie Lachapelle, Alain Ptito and Michelle McKerral. 2. The long-term impact of traumatic brain injury on the family, by Hélène Lefebvre, Diane Pelchat, Isabelle Gélinas, Bernard Michallet and Marie-Josée Levert ; PART II : Intervention - 1. Psychoanalytic psychotherapy following traumatic brain injury: A clinical case, by Jean R. Gagnon. 2. Traumatic brain injury and psychoactive substance abuse, by Monique Désilets, Hélène Lefebvre and Pauline Morissette. 3. Benign paroxysmal positional vertigo and traumatic brain injury: Specific evaluation and treatment, by Alain Godbout ; PART III : Contemporary perspectives - 1. The need for clinical practice guidelines in cognitive rehabilitation by Claude Paquette. 2. Clinicians, managers, and researchers: Joining forces to measure quality in rehabilitation services by Bonnie Swaine, Carolina Bottari, François Crépeau, Louise Demers, Monique Désilets, Elisabeth Dutil and Felicia Guarna. SECTION TWO\nMild traumatic brain injury ; \nPART I : Current state of knowledge -\n1. Identifying the sequelae of mild traumatic brain injury in children by Isabelle Gagnon, Robert Forget, Bonnie Swaine and Debbie Friedman. 2. Premorbidity and mild traumatic brain injury in adults, by Pierre Nolin, Johanne Bernier, Jennifer Mawn, Nathalie Boutin and Myriam Lanctôt.PART II : Intervention - 1. Intervention based on the multifactorial nature of MTBI, by Fanny Guérin, Aysha Dominique, Geneviève Léveillée, Stephan Kennepohl, Wormser Honoré, Nicole Brière and Michelle McKerral ; 2. Psychological intervention after mild traumatic brain injury: The use of resilience as a conceptual framework, by Frédéric Banville and Laurence Majaron ; Acknowledgements ; List of Institutions ; List of Abbreviations
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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 | 0.031 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.005 | 0.043 |
| Scholarly communication | 0.018 | 0.030 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.012 | 0.020 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".