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Record W3120387305 · doi:10.1017/9781316941294.035

Concerns about the Future

2021· book-chapter· en· W3120387305 on OpenAlexaff
Sarinporn Manitsirikul, Marlee Parsons, Monica Shin, Andréa Lessa Benedet, Tharick A. Pascoal, Mira Chamoun, Jean‐Paul Soucy, Serge Gauthier, Pedro Rosa‐Neto

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsMcGill University
Fundersnot available
KeywordsWork (physics)Order (exchange)PsychologyPersonal carePersonal accountPublic relationsPolitical scienceMedicineEngineeringFinanceBusinessFamily medicineLinguistics

Abstract

fetched live from OpenAlex

A 65-year-old accountant presented to the consultation to investigate whether her memory lapses are the first manifestations of Fahr’s disease. She noticed, during the last few years, a progressive difficulty in accomplishing her tasks at work. She felt tired and described that it takes her more time to prepare her reports as compared to a few years ago. She needs to read her drafts several times in order to ensure her work is complete and accurate. She also described more dependence on her personal notes to remember her tasks such as lists for shopping. During meetings and conversations at work, she described difficulties recalling people’s names. She has started to search for words during conversations. Although inconvenient, the impact of these difficulties on her work remains minimal, and she continues to take good care of her home affairs. Her husband denies that the patient is underperforming at home. She described no difficulties completing her domestic, financial, and personal obligations.

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)0.005
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0060.009
Open science0.0010.004
Research integrity0.0090.014
Insufficient payload (model declined to judge)0.0250.004

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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

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