MétaCan
Menu
Back to cohort

Celebratory Image of the 1000-Year-Old City in the Newspaper «Vechernyaya Kazan’» (From the Late 1990s to the First Half of the 2000s)

2024· article· en· W4400491595 on OpenAlexaboutno aff
Алла Сальникова, T. V. Afanasieva

Bibliographic record

VenueUčënye zapiski Kazanskogo universiteta. Seriâ Gumanitarnye nauki/Učenye zapiski Kazanskogo gosudarstvennogo universiteta. Seriâ Gumanitarnye nauki/Učenye zapiski Kazanskogo universiteta. Seriâ Gumanitarnye nauki · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperVariety (cybernetics)PoliticsPublishingHistoryMedia studiesQuarter (Canadian coin)Anticipation (artificial intelligence)Political scienceSociologyLawArchaeologyComputer science

Abstract

fetched live from OpenAlex

This article explores how «Vechernyaya Kazan’» (‘Evening Kazan’), a socio-political newspaper specializing in urban affairs, shaped the celebratory image of Kazan for its 1000th anniversary by publishing a variety of multi-genre materials in the late 1990s–early 2000s. For the first time, the vital and informative role of «Vechernyaya Kazan’» in documenting the city’s transformation in anticipation of the celebration held on August 24th–30th, 2005 is shown. The newspaper did not only cover the changes in the urban landscape–their scenarios, progress, and results, but also was actively engaged itself in these events, emphasizing to the general public the importance of both the city’s anniversary and the preparations involved. In addition to spotlighting the official commemorative sites, «Vechernyaya Kazan’» showcased numerous public initiatives and efforts aimed to make the city more comfortable. Particular attention is paid to the newspaper’s interactive features, which contributed significantly to its success.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueUčënye zapiski Kazanskogo universiteta. Seriâ Gumanitarnye nauki/Učenye zapiski Kazanskogo gosudarstvennogo universiteta. Seriâ Gumanitarnye nauki/Učenye zapiski Kazanskogo universiteta. Seriâ Gumanitarnye naukiSame topicSecurity, Politics, and Digital TransformationFrench-language works237,207