Remembering your past: The effects of concussion on autobiographical memory recall
Bibliographic record
Abstract
To date, research focusing on long-term memory functioning post concussion is limited. The purpose of the current study was to investigate the effects of concussion on long-term episodic autobiographical memory, once acute postconcussive symptoms have abated. Individuals with and without a history of concussion were asked to recall autobiographical memories from different life periods. The details, self-reported vividness, ease of recall, and completeness of these memories were assessed. Results indicated that although both control and previously concussed participants were equally able to recall autobiographical memories from all life periods, the transcribed memories of previously concussed participants were less detailed, were less complex, and revealed less active involvement in recollection. Specifically, memories of control participants contained more words and a higher proportion of pronouns, personal pronouns, cognitive process words, perceptual process words, and past-tense words. Deficits were found regardless of the frequency or recency of concussion. Concussion information, limitations, and implications of the current findings are discussed.
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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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".