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Record W2090388958 · doi:10.1017/s1355617706060292

Frontal injury: Impairments of fundamental processes lead to functional consequences

2006· article· en· W2090388958 on OpenAlexaff
Michael P. Alexander, Donald T. Stuss

Bibliographic record

VenueJournal of the International Neuropsychological Society · 2006
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsFrontal lobePsychologyNeuropsychologyEmpathyCognitive psychologySet (abstract data type)NeuroimagingNeuroscienceCognitionPsychiatryComputer science

Abstract

fetched live from OpenAlex

Frontal functions, or impairments, have achieved the status of pornography: everyone knows them when they see them, but there is little agreement on their exact defining properties. Patients with frontal lobe lesions have impairments in planning, monitoring, sequencing, and inhibiting responses. They cannot organize complex behaviors. They are somehow simultaneously unaware and distractible, irritable and apathetic, violent and passive, impulsive and perseverative. They lack empathy, self-awareness, and emotional regulation. Patients often are incapacitated by frontal impairments that paradoxically are not at all obvious to most observers. To understand the effects of frontal lesions, science has sacrificed countless rats and nonhuman primates. Neuropsychology and Neurology have sanctified a few tests as the tests of frontal function, and then spent money, time, and the mental health of countless graduate students and research assistants trying to tease out of those tests some basic knowledge of frontal functions. Experimental Psychology has brought novel constructs to the problem of defining frontal functions, and modern neuroimaging has merged the traditional clinical and the novel experimental with imaging technology. (A quick PubMed search of “fMRI and frontal lobes” on October 12, 2005 retrieved 4,646 articles, the most recent, “An fMRI study of the Trail Making Test”.) Yet, confronted with a patient with a large right prefrontal lesion who cannot hold a job or even be relied upon to buy the groceries he set out to buy, we have precious few tools to define his problem and almost nothing to offer to fix it.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.046
GPT teacher head0.354
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2006
Admission routes1
Has abstractyes

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