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Record W3004434551 · doi:10.21083/irss.v44i0.5834

Mapping the Scottish Reformation

2020· article· en· W3004434551 on OpenAlex
Michelle D. Brock, Chris R. Langley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Review of Scottish Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentProsopographyHistoryProtestantismNational archivesEnglish ReformationGenealogyClassicsLawPolitical scienceArchaeologyPolitics

Abstract

fetched live from OpenAlex

This article introduces readers to Mapping the Scottish Reformation, a digital prosopography of ministers who served in the Church of Scotland between the Reformation Parliament of 1560 to the Revolution in 1689. By extracting data from thousands of pages of ecclesiastical court records held by the National Records of Scotland, Mapping the Scottish Reformation (MSR) tracks clerical careers, showing where they were educated, how they moved between parishes, their age, their marital status, and their disciplinary history. This early modern data drives a powerful mapping engine that will allow users to build their own searches to track clerical careers over time andspace. In short, Mapping the Scottish Reformation puts clerical careers – and, indeed, Scottish religious history more generally – quite literally on the map.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.501
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.100
GPT teacher head0.291
Teacher spread0.191 · 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