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Ghayl and Miyan in Arabia Felix: The Ecology of Diffusion and Recession of Use

2011· article· en· W2884397515 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.

venuePublished in a venue whose home country is Canada.
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

VenueArab world geographer · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsnot available
Fundersnot available
KeywordsVernacularIndigenousGeographyHistoryAlluvial plainAncient historyArchaeologyEcologyArtCartographyBiology

Abstract

fetched live from OpenAlex

In the centuries before the first Christian millenium, Yemen was prosperous territory. “Arabia Felix,” happy or prosperous Arabia, was the name given by the Romans to this important trade region. During these last centuries BCE., Persians in the east were devising an ingenious method for collecting water from mountain aquifers, sending this water underground to more level alluvial plains. This system, known generically as a qanat, was later transplanted elsewhere by the Persians, and by those who borrowed their technology. Many scholars have accounted for their constructions in other lands, but this chapter in the diffusion of technology has been left with notable gaps, and one of these gaps concerns Arabia Felix. Ghayl and miyan, local vernacular terms for qanats in the west and east of Yemen, are relatively rare here. This paucity of qanats may be the result of Achaemenid and Parthian qanat builders bypassing the indigenous Yemeni kingdoms and only later introducing this technology during the florescenc...

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.543

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 studies0.0000.000
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 head0.025
GPT teacher head0.196
Teacher spread0.171 · 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