MétaCan
Menu
Back to cohort
Record W4407825797 · doi:10.1080/23257962.2025.2453245

Michael Roper (1932–2024)

2025· article· en· W4407825797 on OpenAlexaboutno aff
Laura Millar, Susan Healy, Elizabeth Shepherd

Bibliographic record

VenueArchives and Records · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

FRHistS, former Keeper of Public Records, died in a car accident in Roxwell, Essex, England, aged 92.Born in Halifax, Yorkshire, on 19 August 1932, Michael was educated at Copley School, Halifax, from 1937 to 1943, then at Heath Grammar School, Halifax, from 1943 to 1951.He completed his A-level studies in English and History, receiving a variety of distinctions and scholarships.In 1951, Michael began two years of National Service, serving with the intelligence corps and undertaking language training in Russian (which proved useful during international archival visits in later years).Michael studied medieval and modern history at the University of Manchester, receiving his bachelor's degree in history, with first-class honours, in 1956 and his MA in 1958 with a thesis on 'The territorial possessions of Saint Wilfrid and their influence on his career'.He received funding as a Langton Fellow to pursue a PhD, studying the Anglo-Saxon settlement of Northumbria, but his move to the Public Record Office (PRO) made it impossible to continue; there was virtually no Anglo-Saxon material in the PRO, and his work, family and community obligations limited his ability to travel north for research. Michael began his career as an AssistantKeeper in Training at the PRO in Chancery Lane on 1 October 1959.In the following years he worked as an Assistant Keeper in Search and Modern Records Departments before promotion to Principal Assistant Keeper, working successively in Modern Records Department, Records Administration Division, and Research and Planning Unit.He also served as Secretary to the Lord Chancellor's Advisory Council on Public Records between 1963 and 1968.He became Records Administration Officer and Head of Records Administration Division in 1982, then Deputy Keeper of

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.098
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0980.048

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 head0.227
Teacher spread0.209 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueArchives and RecordsSame topicMedical History and InnovationsFrench-language works237,207