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Record W4389949574 · doi:10.5334/johd.169

3D Modelling of Jerusalem’s Maghrebi Quarter

2023· article· en· W4389949574 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueJournal of Open Humanities Data · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
FundersUniversité Gustave EiffelUniversità Degli Studi di Modena e Reggio Emila
KeywordsQuarter (Canadian coin)GeologyArchaeologyHistory

Abstract

fetched live from OpenAlex

Although Jerusalem is one of the most photographed places in the world, few works have focused on the existence of its former 800-year-old Maghrebi Quarter, located in the shadow of the Western Wall. Founded in 1193 by Saladin’s son, al-Afdal ‘Ali to house Muslim pilgrims from North Africa (today Morocco, Algeria, Tunisia, and Libya), the Quarter was razed by Israeli bulldozers on the night of 10–11 June 1967’. Its 1,000 or so inhabitants were forced to flee within hours. Silenced by the occupation of East Jerusalem as part of the Six-Day War, the existence of the Maghrebi Quarter faded behind the walls of history. This research paper describes how 55 years after its razing, the selection of a corpus of archives, combined with 3D technology and Interprofessional collaborations between historians and 3D designers enable making a forgotten history accessible again. Beyond a discussion on methods and technical process, this research paper aims to highlight the potential applications of the data set and the 3D model not only for scholarly research but also for pedagogical purposes, for instance.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.369
GPT teacher head0.316
Teacher spread0.053 · 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