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Record W6911746741 · doi:10.5281/zenodo.15164016

TOSHKENTNING YER OSTI MUZEYI

2025· dissertation· uz· W6911746741 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedissertation
Languageuz
FieldAgricultural and Biological Sciences
TopicEngineering and Agricultural Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaQuarter (Canadian coin)Work (physics)Natural (archaeology)

Abstract

fetched live from OpenAlex

Annotatsiya: Ushbu maqolada yer ostidagi birinchi metropoliteni shuningdek metroning vujudga kelishida qanday omillar sabab bo’lgani haqida so’z boradi. Toshkent seysmik faol hududda joylashganligi, cho’kma tuproqlar va issiq iqlim sharoitida metro qurish ko’pchilika imkonsizdek tuyilgan. Toshkentda metro qurishni tasdiqlash faqat Moskva qo’lida edi. Shunga qaramay O’zbekiston rahbari Sharof Rashidov hukumat vakillariga 18 marta murojaat bilan chiqganligi hujjatlarda aks etgan. Toshkent metrosini qurishda bobolarimiz tajribalaridan ham foydalanildi yani sinch to’g’risida so’z yuritiladi. 9 ballik hududlar safiga kiritilgan Toshkent shahrida bunday sharoitda metro qurish nazariy jihatdan mumkin emas edi. Bugungi kunga kelib Toshkent metrosi jahondagi eng chiroyli metrolar safiga kiradi. Har bir bekatlarning nomlari bezaklari usha bekatni his qilish imkonini beradi.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.006

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 head0.039
GPT teacher head0.238
Teacher spread0.200 · 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