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Record W4394963921 · doi:10.21203/rs.3.rs-4281379/v1

'A Torch, a rope, a belly laugh’: Engaging with the multiple voices of support groups for people living with rare dementia

2024· preprint· en· W4394963921 on OpenAlexaff
Paul M. Camic, Emma Harding, Samuel Rossi-Harries, Oliver S Hayes, Mary Pat Sullivan, Lawrence Wilson, Nikki Zimmermann, Roberta McKee‐Jackson, Joshua Stott, Nick C. Fox, Jonathan D. Rohrer, Catherine J. Mummery, Jason D. Warren, Rimona S. Weil, Sebastian J. Crutch

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsNipissing University
FundersEconomic and Social Research CouncilUniversity College London Hospitals NHS Foundation TrustUniversity College LondonNational Institute for Health and Care ResearchBrain Research UKAlzheimer's SocietyNational Brain AppealUK Research and Innovation
KeywordsRopeDementiaPsychologyGender studiesSociologyMedicineEngineeringPathologyMechanical engineering

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0050.006
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.041
GPT teacher head0.365
Teacher spread0.323 · 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 designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractno

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