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Record W2148571202 · doi:10.3280/ses2012-su2005en

Enhancing the mind? Memory medicine, dementia, and the aging brain

2013· article· en· W2148571202 on OpenAlexaff
Stephen Katz, Kevin R. Peters

Bibliographic record

VenueSALUTE E SOCIETÀ · 2013
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsTrent University
Fundersnot available
KeywordsDementiaBiosocial theoryBrain agingEnlightenmentPsychologyMemory impairmentCognitionCognitive impairmentIntervention (counseling)Cognitive scienceNeuroscienceMedicinePsychiatryPsychoanalysisEpistemologyPhilosophyDisease

Abstract

fetched live from OpenAlex

The study explores the relationship between the neurosciences, aging, anti-aging culture, memory medicine, and the hypercognitive society. The first part traces the discourses of mind from the Enlightenment to contemporary biosocial models where the aging brain has become a social laboratory for research, experimentation, and intervention. The second part explores the Cholinergic Hypothesis, the development of the cholinesterase inhibitors and their recent implementation in cases of Mild Cognitive Impairment (MCI). Critical questions are posed about how the mission to optimize aging has affected projects to enhance the mind.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.007
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.288
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2013
Admission routes1
Has abstractyes

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