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Record W3177400370 · doi:10.38027/iccaua2021300n15

Adaptive Reuse of the House of Mirza Mehdi Farrashbashi in Tabriz, Iran

2021· article· en· W3177400370 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

VenueProceedings Article · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsOrnamentsAdaptive reuseReuseQuarter (Canadian coin)Cultural heritageArchitectural engineeringGeographyHistoryArchaeologyEngineeringStyle (visual arts)

Abstract

fetched live from OpenAlex

Tabriz and especially the Sorkhab quarter, one of the historical quarters in Tabriz, Iran contains many valuable Qajarid houses. The current research is about studying the architectural characteristics of Qajarid houses in Tabriz to present conservation and revitalization plans for better adaptive reuse of these valued cultural heritage buildings. For this purpose, the house of Mirza Mehdi Farrashbashi who was one of the sons-in-law of Mozaffar ad-Din Shah Qajar has been chosen as a sample to be studied. Although it is important to conserve this house because of its architectural values and its beautiful ornaments, its adaptive reuse can also be useful for the preservation of the cultural heritage of East Azarbaijan, Tabriz in Iran. After studying the architectural values of this beautiful Qajarid house and its ornaments, the process of conservation and revitalization of it has been comprehensively explained throughout the current research for its adaptive reuse.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.269

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 head0.041
GPT teacher head0.220
Teacher spread0.179 · 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