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Record W7115907018 · doi:10.5281/zenodo.17968933

Media, Culture, and the Negotiation of Meaning

2025· preprint· en· W7115907018 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typepreprint
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsMeaning (existential)NegotiationScholarshipIdentity (music)Consumption (sociology)The SymbolicSymbolic powerCultural studiesCultural identity

Abstract

fetched live from OpenAlex

This paper revisits key debates in media and audience theory in order to examine how media consumption shapes, reflects, and contests cultural identity in a globalised en- vironment. Drawing on scholarship that frames media as both a consumable cultural product and a powerful symbolic system (Baudrillard, 1998; Jansson, 2002), the paper argues that meaning is not transmitted directly from media texts to passive audi- ences. Instead, meaning is negotiated through cultural context, identity commitments, lived experience, and interpretive agency. Revisiting key traditions including effects- oriented approaches, cultivation analysis, social learning, symbolic consumption, and active audience theory, the paper situates media use as a central site of cultural ne- gotiation. It further considers how globalisation and transnational media circulation complicate identity formation by multiplying representational frames and intensifying cross-cultural encounters. The paper concludes by emphasizing that understanding media influence requires attention to audience interpretation, cultural positioning, and the negotiated production of meaning within everyday cultural imagination.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
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 head0.040
GPT teacher head0.292
Teacher spread0.251 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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