MétaCan
Menu
Back to cohort
Record W2904250342 · doi:10.4324/9781315249247-25

Frankish Castle-Building in the Latin Kingdom of Jerusalem

2017· book-chapter· en· W2904250342 on OpenAlexaboutno aff
Ronnie Ellenblum

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsKingdomHistoryAncient historyGeographyArchaeologyGeologyPaleontology

Abstract

fetched live from OpenAlex

The central places of the Latin Kingdom gave ecclesiastical, administrative, and commercial services to smaller villages, hamlets, and farm houses. The major sites were those which are usually labeled cities, namely, Acre, Baniyas, Tiberias, Caesarea, Arsuf, Jaffa, Jerusalem, Nablus, Karak, and Tyre. According to the Latin sources, a new phase of castle-building began, and military attention was directed from then on to fortresses on the borders of the kingdom. Some castles in defensive positions of course existed already: Karak was fortified as the central Frankish stronghold in Transjordan in 1142, Safed is mentioned at the beginning of the century and again by William of Tyre in 1157, and Montreal was erected in the second decade of the twelfth century. Theodorich describes Belvoir and Safed during his visit in 1172, noting that Belvoir was built for the purpose of defending the kingdom against the assaults of Nur al-Din.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.110
GPT teacher head0.267
Teacher spread0.156 · 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
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicArchaeology and Historical StudiesFrench-language works237,207