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Record W2998905520 · doi:10.1177/0305735619891774

Bruce Springsteen fan behavior and identification

2020· article· en· W2998905520 on OpenAlexaboutno aff
Helinä Häkkänen‐Nyholm

Bibliographic record

VenuePsychology of Music · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsFandomActive listeningConsumption (sociology)Identification (biology)PsychologyAdvertisingMedia studiesSocial scienceSociologyCommunication

Abstract

fetched live from OpenAlex

This research studied Bruce Springsteen fans and investigated their fanship and fandom, fan-related behavior, worship, and psychological functions for listening to Springsteen’s music. In total, 600 Springsteen fans from the United States, Canada, Europe, the Nordic countries, South Africa, and South America filled an online survey distributed to them via fan forums. The results showed that on average the respondents had been Springsteen’s fans for three decades and had attended 27 shows in total. The primary function of listening to Springsteen’s music was to achieve self-awareness. More than half of the respondents listened to Springsteen’s music daily, and on average, more than half of the fans’ total music consumption was by Springsteen. The fans were also heavily involved in popular forms of fan consumption. Analyses showed some gender and cultural differences, particularly with females scoring higher level of fan identification and consumption, but no age differences. These findings indicate that it was possible to identify quantitative differences between fan behavior and identification, which have implications for the rock music marketing and management industry.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.089
GPT teacher head0.366
Teacher spread0.278 · 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 teacher head, 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

Citations4
Published2020
Admission routes1
Has abstractyes

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