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CITY-FORMING ROLE OF THE UNIVERSITIES AND THE IDEA OF THE «UNIVERSITY QUARTER» IN SAMARA

2017· article· en· W3029121009 on OpenAlexaboutno aff
E.Ya. Burlina, Е Я Бурлина, Elena Grankina, О С Наумова

Bibliographic record

VenueAspirantskiy Vestnik Povolzhiya · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsSamaraQuarter (Canadian coin)IntelligentsiaSpace (punctuation)InstitutionPolitical scienceSociologyGeographySocial scienceArchaeologyLawPolitics

Abstract

fetched live from OpenAlex

The article is devoted to the role of the university as a city-forming institution that produces cultural meanings that fill the physical space around the university. According to the authors of the article, universities can and should play an important role in the formation of a new type of city space. Samara case represents the group of educational leaders that have significant potential for actualizing the ideas of urban studies at least within one quarter. The article shows the city-forming impulse of universities of Kuibyshev/Samara since their appearance in the city during the revolutionary period, their strategic importance in wartime, and the colossal impact on the cultural life of the city and the humanitarian space of the Soviet urban intelligentsia of the 1960s, up to the modern process of “managerization” of universities, in connection with which the situation of searching for new forms of interaction between the university and the city is becoming increasingly essential. The authors propose the idea of creating a “University Quarter” in the central part of Samara and give some directions for the implementation of this brand in the socio-cultural dimension.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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