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Record W3017296682 · doi:10.21226/ewjus574

Kharkiv's Soulful Places: An Artistic Research

2020· article· en· W3017296682 on OpenAlexvenueno aff
Dmytro Zaiets

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsConstruct (python library)RecreationSoulArchitectureAestheticsSociologyVisual artsAtmosphere (unit)NiceArtGeographyEpistemologyComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

What makes certain places in a city fascinating, even magical? This is not about the so-called “nice city” areas, be it views of historical districts or monuments or city parks—places that are by default associated with pleasant ambiance or recreation. This essay is about places that create an immediate impression and that can become intimate, eliciting an emotional response or addressing our hidden needs. It describes research results achieved by sociology students of the Kharkiv School of Architecture in the 2017-18 academic year. The research was dedicated to urban places with a “soul,” with all of the possible shades and differences this social construct implies. The purpose of this research was to find a way to recreate the charm of places, to recreate their atmosphere and their aura in other contexts. Overall, this essay emphasizes the importance of authentic places and stresses the need to study and preserve them as a basis for the urban life of contemporary Kharkiv.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.390
GPT teacher head0.443
Teacher spread0.052 · 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 designQualitative
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

Citations2
Published2020
Admission routes1
Has abstractyes

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