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Record W2035240175 · doi:10.5539/res.v7n6p86

Socio-Cultural Sphere, Governance and City Branding in New Economy

2015· article· en· W2035240175 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.

venuePublished in a venue whose home country is Canada.
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

VenueReview of European Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsBrand equityBusinessMarketingAdaptation (eye)Public sphereCorporate governanceIndustrial organizationPolitical sciencePsychology

Abstract

fetched live from OpenAlex

The article analyzes the problems of socio-cultural sphere in the new economy, as well as the impact of socio-cultural sphere on the brand of St. Petersburg, paper also discusses possibility of evaluation of changes in brand strength due to socio-cultural impact. The proposed method of estimation of the strength of the brand is universal enough, but due to a pronounced specificity of various segments of the public sector it requires specifying when evaluating consumer interest in services for various types of organizations. In this paper, brand evaluation can not be based on the financial performance of organizations; we are not interested on the characteristics of brand equity, but on indicators of consumer preferences and the associated strength of the brand on the market. The proposed method can be adapted to different segments of the public sector (and their impact on brand site) that require adaptation indicators of demand and availability of the services of these organizations. It requires considering not only the classical estimation of the brand, calculated using the method of The Boston Consulting Group (BCG) including adaptation of its indicators for socio-cultural sphere, and together with the emotional evaluation of brand strength by Keller (Keller, 2005) used to calculate the integral market power of the brand. Priority of emotional components is defined by specific traits of Russian market in general and the cultural market, in particular. The competitiveness of the regional institutions of socio-cultural sector and the strength of their brand directly affects the competitiveness of the region as such. The paper raises questions of so called “star” status and orientation on brands in risk conditions. Brand allows city to start the process of urban regeneration, become the basis of its development strategy, and to revive the use of vacant spaces as well. Branded cities attract not only tourists but also entrepreneurs in various industries, people who want to live interesting, in an unique location and have access to the benefits of modern goods, unique heritage, objects and experiences. Brand adds a certain “flavour” to the city. It can be promoted; it can attract the most qualified workers not only with competitive salary and benefit packages, but with a good place for work and for pleasures as well.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.163
GPT teacher head0.380
Teacher spread0.217 · 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