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Record W2964915882 · doi:10.21272/sec.3(2).54-62.2019

Racism In Germany And The Global Consequences For Premium Brands

2019· article· en· W2964915882 on OpenAlexaboutno aff
Dirk Zwerenz

Bibliographic record

VenueSocioEconomic Challenges · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicConsumer behavior in food and health
Canadian institutionsnot available
Fundersnot available
KeywordsRacismEconomicsBusinessAdvertisingPolitical scienceLaw

Abstract

fetched live from OpenAlex

hemnitz is a city in Saxony (in East Germany) with approx. 250,000 inhabitants. It examines the impact of images in the media and videos the medium-sized company NOMUS. The manufacturer is the company of NOMUS, a medium-sized manufacturer of luxury watches. NOMUS sold its luxury products in international cities all over the world. The production of watches takes place in the small town > Glashütte <. Glashütte is approx. 80 km away from Chemnitz, approx. 7,300 inhabitants live in Glashütte. NOMUS supplies a worldwide dealer network with subsidiaries in the USA, Canada, Cuba, Argentina, the U.A.E., India, China, Japan, Australia and Europe. NOMUS has 250 employees in the glassworks and 50 employees in a design studio in Berlin.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

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 studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.041
GPT teacher head0.352
Teacher spread0.311 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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