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Record W4376288782 · doi:10.1075/sibil.64.16sha

Role of bilingualism in neurodegenerative disease I

2023· book-chapter· en· W4376288782 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudies in bilingualism · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsCognitive reserveNeuroscience of multilingualismDementiaPsychologyCognitionDiseaseCognitive declineMechanism (biology)NeuroimagingAffect (linguistics)NeuroscienceCognitive impairmentPathologicalCognitive psychologyMedicinePathologyCommunication

Abstract

fetched live from OpenAlex

Abstract Recent research shows bilingualism to be a reserve factor, delaying the onset of symptoms of dementia and slowing the rate at which cognitive decline progresses. This chapter explores how bilingualism may affect the progression of Alzheimer’s disease and why bilingual individuals are more resilient to the effects of Alzheimer’s pathology. The chapter starts with an overview of bilingualism, then leads into how bilingualism acts as a possible mechanism of cognitive reserve. We consider bilingual experience to be a factor of cognitive reserve from three perspectives: pathological symptoms, neuroimaging, and biomarkers. Collectively, bilingualism appears to be beneficial for delaying symptoms, slowing progression, and maintaining cognitive functioning in the face of Alzheimer’s disease. The chapter ends with conclusions based on the research to-date and outlines possible implications for future research.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.398
Teacher spread0.318 · 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