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Record W2323090727 · doi:10.14783/od.v11i41.5000011418

KURUMLARDA YARATICILIK ÜZERİNE BİR ÇALIŞMA - A STUDY ON CREATIVITY IN ORGANIZATIONS

2014· article· tr· W2323090727 on OpenAlexaff
Neslihan Okakin, Meltem AYVACIOĞLU

Bibliographic record

VenueÖneri Dergisi · 2014
Typearticle
Languagetr
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsMitel (Canada)
Fundersnot available
KeywordsCreativityPsychologySocial psychology

Abstract

fetched live from OpenAlex

ÖzetGünümüzde bilgiye kolay ulaşılmakla birlikte önemli olan, bilgiler arasında yeni bağlantılar kurmaktır. Bu yaratıcılığın en temel tanımını oluşturmaktadır. Yaratıcılık herkes tarafından sergilenemese dahi, yapılan araştırmalar herkesin yaratıcılığını geliştirebileceğini göstermektedir. Bu çalışmada yaratıcılık tanımından başlanarak, bireysel ve kurumsal yaratıcılığı etkileyen tüm faktörler üzerinde durulmuştur ve yaratıcılığı geliştiren teknikler detaylı olarak incelenmiştir. Araştırmanın konusunu kurumlarda yaratıcılığın nasıl uygulandığı ve teşvik edildiği oluşturmaktadır. Çalışmanın araştırma evrenini Capital Dergisi tarafından 2009 yılında belirlenen Türkiye’nin en inovatif yirmi şirketi oluşturmaktadır. Bu çalışmada kurumların yaratıcılık adına ne yaptıkları, neyi teşvik ettikleri ve daha başka nelerin yapılabileceğine ilişkin veriler sunularak tartışılmıştır.AbstractNowadays, it’s easy to access information, nonetheless the important part is to establish new connections between the information. This is the most basic definition of the creativity. In this study, the factors which affect individual and organizational creativity to be examined starting from the definition of the creativity and techniques which enhance individual and group creativity to be examined in detail. Finally, a research takes place expressing how creativity is implemented and promoted in the organizations. The research enviroment in this study is composed by Turkey’s most innovative twenty companies determined by Capital magazine in 2009. In this study, what the organizations do, promote and what else can be done in the name of creativity tobe discussed by presenting related data.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.044
GPT teacher head0.380
Teacher spread0.336 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2014
Admission routes1
Has abstractyes

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