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Record W7057510035

İTÜ Nadir Eserler Koleksiyonundan seçmeler : “Nâfia ve İ’mâr Projeleri” [sıkıştırılmış format]

2023· book· tr· W7057510035 on OpenAlexaboutno aff

Bibliographic record

VenueIstanbul Technical University Academic Open Archive (Istanbul Technical University) · 2023
Typebook
Languagetr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsUrban environmentNadirEpidemiologyQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Bu çalışma, üniversitemiz bünyesinde bulunan “İstanbul Teknik Üniversitesi Nâfia ve İʿmâr Projeleri Arşivi”ne odaklanmaktadır. Bu arşiv, 19. yüzyıl sonu ve erken 20. yüzyılda gerçekleştirilen demiryollarından limanlara, İstanbul’un ilk modern konut projelerinden şehirlerin elektrifikasyonuna, bir çok kentsel altyapı projesine ilişkin evrakı içermektedir. Ülkemizin mühendislik tarihi hafızası sayılabilecek bu arşivdeki belgeler, geç Osmanlı ve erken Cumhuriyet dönemi Türkiyesi’nde yaşanan teknolojik modernizasyon ve kentsel dönüşüm sürecinine ışık tutmaktadır. Elinizdeki eserde, Osmanlı’dan erken Cumhuriyet dönemine ülkemizde gerçekleştirilen kentsel altyapı çalışmalarına ilişkin bir çok proje, bir seçki halinde araştırmacılara ve konunun meraklı okurlarına sunulmuştur.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.007

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 head0.027
GPT teacher head0.268
Teacher spread0.240 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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