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Record W4408934963 · doi:10.1111/1467-9655.14268

The clock‐drawing test: reading temporalities of dementia from clinical chart notes

2025· article· en· W4408934963 on OpenAlexaff
Janelle S. Taylor

Bibliographic record

VenueJournal of the Royal Anthropological Institute · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentCenter for Studies in Demography and Ecology, University of WashingtonUniversity of WashingtonNational Institute on AgingAdvanced Cardiac Therapeutics
KeywordsTemporalitiesChartReading (process)Test (biology)HistoryDementiaComputer sciencePsychologyLinguisticsMedicinePhilosophyPolitical scienceGeologyMathematicsStatisticsLawPaleontology

Abstract

fetched live from OpenAlex

The clock-drawing test, a cognitive screening test widely used clinically, is here taken as a window onto forms of temporality present in clinical encounters involving dementia. Drawing on close reading of clinical notes from their medical records, I offer imagistic silhouettes of three older adults in the Seattle area who had no living spouse or children when they developed dementia. Attending to temporality in these records brings clinical interactions into focus as part of the fundamental relationality of dementia, even as attending dementia highlights the fundamental relationality of time. The article examines how small-scale singularities of time in the clinic bear the imprint of collective temporal registers, including cultural expectations of the life course and larger histories of labour and medicine - and how dementia can unsettle these forms and layers of temporality. Both temporality and dementia alike, I argue, are thoroughly social, historical, and embodied phenomena, their disorientations tangled up together for the time being.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.081
GPT teacher head0.363
Teacher spread0.282 · 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 designNot applicable
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

Citations2
Published2025
Admission routes1
Has abstractyes

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