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Record W2791229597 · doi:10.1163/24056480-00301004

The Battle of the Brands

2018· article· en· W2791229597 on OpenAlexaff
Călin-Andrei Mihăilescu

Bibliographic record

VenueJournal of World Literature · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Cultural and National Identity
Canadian institutionsWestern University
Fundersnot available
KeywordsRomanianBattlePolitical sciencePublic relationsMedia studiesSociologyAdvertisingHistoryLinguisticsBusiness

Abstract

fetched live from OpenAlex

Abstract The international recognition of Romanian literature faces a double challenge: first, the limited circulation of the Romanian language; second, the small number of translations and the non-systematic branding that this literature has enjoyed so far. This article discusses (1) the meanings of “branding”; (2) the ways in which the nationalist imp keeps hindering the branding of Romanian literature abroad, and highlights the historical and contemporary shortcomings of the branding of Romanian literary texts and authors; and (3) the current state-of-affairs, followed by a scenario for future action. The last section suggests ways of improving this branding by piggybacking on the international success of Romanian cinema and on a few award-winning Romanian writers, but especially by attempting to help create a class of professional middle-persons (cultural managers, literary agents and advertising professionals) who would systematically promote Romanian literature.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.029
Scholarly communication0.0170.009
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0090.002

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 head0.009
GPT teacher head0.290
Teacher spread0.280 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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