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Record W3205946365 · doi:10.1080/00036846.2021.1976388

Historical roots and influential publications in the area of innovation in the creative industries: A cited-references analysis using the Reference Publication Year Spectroscopy

2021· article· en· W3205946365 on OpenAlexaff
Paulin Gohoungodji, Nabil Amara

Bibliographic record

VenueApplied Economics · 2021
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsField (mathematics)Regional scienceSocial scienceSociologyLibrary scienceHistoryEconomicsComputer scienceMathematics

Abstract

fetched live from OpenAlex

This study explores the historical roots of the relatively new topic of innovation in the creative industries. We are interested in the contributions of researchers that have proven to be important to the topic over the long term. To do so, we used the Reference Publication Year Spectroscopy method. This method is based on the analysis of the frequency with which references are cited in publications in a specific research area, in our case, innovation in the creative industries. The study is based on a corpus of articles rigorously selected through a systematic review method of empirical articles published between 1998 and 2019. The results reveal 4585 cited references (CR) with 9 clearly identifiable peaks, the first of which is caused by the work of Schumpeter (1934) and the last by the book of Miles & Green (2008). Each of the peaks marks a major contribution to the evolution of the understanding of innovation in these industries with one or more publications, the majority of which have an economic basis. In addition, the study reveals that the three most influential publications in this field are the economically oriented books by Florida (2002), Caves (2000), and Miles & Green (2008).

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)0.011
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics, Scholarly communication
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0140.168
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.523
GPT teacher head0.486
Teacher spread0.037 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

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