The value of the neuropsychological assessment for adults with Fetal Alcohol Spectrum Disorders: A case study
Bibliographic record
Abstract
Sparrow, J., Grant, T., Connor, P., & Whitney, N. (2013). The value of the neuropsychological assessment for adults with Fetal Alcohol Spectrum Disorders: A case study. The International Journal Of Alcohol And Drug Research, 2(3), 79-86. doi:10.7895/ijadr.v2i3.107 (http://dx.doi.org/10.7895/ijadr.v2i3.107)Fetal Alcohol Spectrum Disorder (FASD) is an umbrella term that reflects the range of potential effects resulting from Prenatal Alcohol Exposure (PAE). Individuals with FASD may demonstrate cognitive, functional and adaptive challenges that are as debilitating as those experienced by individuals with the full fetal alcohol syndrome. This case study describes a young mother with PAE who was enrolled in a three-year intensive case management program and who was suspected of having FASD. Authors describe the neuropsychological battery that was administered and how assessment results were used to help members of a multidisciplinary team reframe their thinking and respond to the client’s neuropsychological strengths and impairments by adjusting their language, expectations and interventions accordingly. Recognized as a valued member throughout the assessment and intervention process, the client learned to develop strategies that supported her autonomy and self-advocacy.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| 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".