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Record W4401953658 · doi:10.1177/09677720241273643

The legacy of Dr Marjory Warren's publications

2024· article· en· W4401953658 on OpenAlexaff
David B. Hogan

Bibliographic record

VenueJournal of Medical Biography · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversity of Calgary
FundersUniversity of GlasgowWellcome Trust
KeywordsPaternalismPsychological interventionNarrativePrimary careField (mathematics)MedicinePsychologyNursingFamily medicineLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

While the contributions of Dr Marjory W. Warren to geriatric medicine are widely acknowledged, their specifics have become obscured by the passage of time. The primary objective of this narrative review of her medical publications was to clarify the contributions she made for this field of medical practice. A total of 82 publications were found. In them Warren presented a then novel and hopeful approach to the management of older patients that included making care plans derived from comprehensive assessments, implementing team-based interventions, and ensuring continuity of care. These innovations, though, took years to implement and included what would now be considered a number of paternalistic and hierarchical aspects. Objective patient outcome data was rarely presented. While responsible for innovations that remain key to the field, some of what she proposed are either no longer possible (e.g. large in-patient units with prolonged lengths of stay) or have required modifications to align with current practice.

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)0.015
metaresearch head score (Gemma)0.137
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.137
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.005
Scholarly communication0.0110.008
Open science0.0010.004
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0100.005

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 head0.018
GPT teacher head0.321
Teacher spread0.303 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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