Impaired skill learning in children with heavy prenatal alcohol exposure
Bibliographic record
Abstract
Global and widespread cognitive and behavioral dysfunctions have been documented in children with heavy prenatal alcohol exposure (CHPAE). In addition to further exploring explicit-memory functioning in this population, recent investigations have creatively looked into implicit-memory functions by testing the ability of CHPAE to perform priming (Mattson & Riley, 1999) or skill-learning (Carmichael Olson et al., 1998; Sampson et al., 1997) tasks. These empirical efforts have been supported by recent studies which have linked prenatal alcohol exposure to disproportionate volumetric reductions in subcortical structures such as the basal ganglia (Mattson et al., 1994) and cerebellum (Cavanagh et al., 1997), two structures that have been shown to be actively involved in implicit memory (Doyon et al., 1997, 1998; Heindel et al., 1989; Rauch et al., 1997). In each case, a profile of preserved implicit and impaired explicit-memory functioning has emerged. In the skill-learning domain, for example, participants were required to complete four blocks of 100 trials of the serial reaction time (SRT) task in which participants have to press the button which corresponds to the light that is illuminated, and in which there is an embedded sequence of ten positions that is repeatedly presented throughout blocks of trials. On the latter task, both studies indicated that CHPAE children tended to have longer mean response times than controls, but that their learning profile did not differ across the four blocks of trials.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.002 | 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".