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Record W2371828844 · doi:10.1017/cbo9781139170055.004

Dividing the Body: People and Places

2015· book-chapter· en· W2371828844 on OpenAlexaff
Nicholas Terpstra

Bibliographic record

VenueCambridge University Press eBooks · 2015
Typebook-chapter
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCreedTragedy (event)PhenomenonMotion (physics)Face (sociological concept)RefugeeAestheticsHistorySociologyArtPolitical scienceLawEpistemologySocial sciencePhilosophyArchaeology

Abstract

fetched live from OpenAlex

Religiously driven exile may have emerged as a mass phenomenon in the early modern period, but how did individuals experience it? What was it like to look at the world from the position of the religious refugee? By comparing the experiences of a range of individuals from across different faiths, we can begin to put a human face on what was often an inhuman tragedy. Some weathered this better than others, and all were deeply marked by it. In many cases, removal was not a one-time thing. Some moved frequently in search of a place that would allow them to build a community. Others found that community and turned it into a test case for ideas and an incubator for missionary activity. Some were in constant motion physically because they were in constant motion intellectually, moving from one creed to another in search of something that reflected their deepest convictions. Women often had less freedom to move, and so it is important to consider the experience of those who did not manage to escape, particularly since their followers later wrote powerful accounts turning them into martyrs for the cause.

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 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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.891
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.196
Teacher spread0.148 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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