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Record W302121957 · doi:10.3138/cjh.45.2.207

Geography is Better than Divinity: The Bible and Medieval Geographical Thought

2010· article· en· W302121957 on OpenAlexvenueno aff
Richard Raiswell

Bibliographic record

VenueJournal of History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsnot available
Fundersnot available
KeywordsDivinitySpace (punctuation)Perspective (graphical)TemporalityFace (sociological concept)HistoryConsciousnessAestheticsPhilosophySociologyEpistemologyLiteratureArtTheologyLinguisticsVisual arts

Abstract

fetched live from OpenAlex

This article examines the role of the Christian Bible in forging a distinctly medieval geographical consciousness. Though the sacred text had little explicit to say about basic issues of cosmography or even about the location of places beyond the bounds of the Holy Land, the fact that God's act of creation marked not just the beginning of time but also of space, meant that many of the exegetical assumptions and techniques honed to shed light upon the unfolding of Providence from the perspective of people mired in temporality could just as readily be applied to comprehending space; clearly, particular evidence for the direction of God's plan was written across the face of the earth as much as it was in past events. But as a corollary, the Bible could also be seen as providing a series of unassailable deductive premises that made the whole world readily knowable — and even known. The result is that through the Middle Ages a discourse about space developed that was at once confident and resilient, echoes of which continued to reverberate in the thinking of some of the major geographical figures of the sixteenth and early seventeenth centuries.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.034
Scholarly communication0.0060.005
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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

Citations5
Published2010
Admission routes1
Has abstractyes

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