Science Mirroring Reality: An Improbable Journey into the Functions of the Frontal Lobes
Bibliographic record
Abstract
Receiving the National Academy of Neuropsychology's Lifetime Contributions to Neuropsychology Award promoted reflection on values and decisions. Selecting the topic of the presentation associated with the award also led to rumination. The term "lifetime" was the deciding factor: how does one choose and start a career path, what advice might one give to individuals embarking on their own career, and what goals does one set up early in one's career? What are the "drivers" in one's life? This was the topic of my presentation, and the theme of this manuscript. There were two drivers that can be traced to two important early career choices. These two drivers also ended up forming the two primary research themes on the functions of the frontal lobes. After a brief review of the reasons for the roads chosen in my career path, a summary of the two themes of research is presented.
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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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.038 |
| Scholarly communication | 0.016 | 0.022 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".