MétaCan
Menu
Back to cohort
Record W1952190411 · doi:10.5539/ass.v11n26p142

Concentration in the Turkish Cement Industry

2015· article· en· W1952190411 on OpenAlexvenueno aff
Hüseyin Daştan, Gürkan Çalmaşur

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsHerfindahl indexMarket concentrationMarket structureOligopolyTurkishIndex (typography)Market shareIndustrial organizationBusinessProfit (economics)Competition (biology)ImperfectEconomicsMicroeconomicsMarketingCournot competition

Abstract

fetched live from OpenAlex

The market structure of the industry can be analyzed by reference to various indicators. These indicators are small or large firms operating in industry, market share, technological structure and competitive conditions. Todays is valid conditions of imperfect competition, concentration is one of the important indicators that determine whether they have a competitive structure operates. The main objective of this study is to analyze the market structure of the Turkish Cement Industry for the period of 2010-2014. To achieve this goal, domestic, foreign and net sales of firms data used in the study, N-Firm Concentration Ratio, Herfindahl-Hirschman and Entropy Index methods applied separately for each period, using the data set related to the domestic, foreign and net sales of firms in the industry. Consequently, the industry was determined as an oligopoly according to CR4 and CR8 while it was in a competitive market structure according to Herfindahl-Hirschman Index and Entropy Index.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.268
Teacher spread0.227 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicGlobal Trade and CompetitivenessFrench-language works237,207