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The Mediterranean City: Arab and Western Encounters—Traditions and Futures

2001· article· en· W2252933043 on OpenAlexvenueno aff
Eckart Ehlers

Bibliographic record

VenueArab world geographer · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeninsulaMediterranean climateUrbanityGeographyFutures contractMiddle EastBoomArchitectureIslamAdaptabilityEconomyAncient historyArchaeologyHistoryBusinessEcology

Abstract

fetched live from OpenAlex

The Mediterranean city is a distinct urban type1. Whether located in Europe, in North Africa, or in the coastal regions of Turkey and the Levant, Mediterranean cities are unique and distinct in their histories, in their urban designs, in their architecture, and in their specific functions and hinterland relationships. Greek-Roman planning principles are still visible in many circum-Mediterranean cities, with Oriental or “Islamic” urban designs superimposed not only in Africa or Asia but also on the Iberian peninsula, in Southern Italy, and in significant areas of Greece and the Balkans. European influences are responsible for the most recent layers, creating a unique blend of old and new, of Eastern and Western urbanity. Historically, Mediterranean cities have always been trading hubs and/or residential centres for aristocrats, administrators, traders, and landlords. They still are today. Industrialization came late and remains focussed on a few locations. For the most part, city-hinterland relationships ...

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)0.001
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.013
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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

Citations4
Published2001
Admission routes1
Has abstractyes

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