Hybrid Cultures, Fluid Identities: Cultural Theory in the Age of Globalisation
Bibliographic record
Abstract
This paper examines the evolving relationship between culture, identity, and hybridity within the broader context of globalisation. Drawing on classical definitions of culture as a dynamic, lived, and continually negotiated set of practices (Tylor, 1871; Williams, 1958, 1983), the paper argues that cultural processes are inherently fluid, shaped by internal diversity, dissent, and historical change (Sunder, 2001). Building on postcolonial and cultural theory, it revisits foundational conceptualisations of hybridity as articulated by Bhabha (1994), Derrida (1998), and Young (1995), while integrating more recent scholarly debates on the normativisation and political implications of hybrid identities (Kompridis, 2005). The analysis highlights how global cultural flows, technological interconnections, and transnational mobility intensify hybrid formations, producing identities that are increasingly multiple, shifting, and context-dependent. By synthesising classical and contemporary perspectives, the paper demonstrates that hybridity is not an exception but a constitutive condition of cultural life in the twenty-first century. It concludes by considering the theoretical value of understanding culture as an ongoing process of negotiation, translation, and transformation in a globalised world. Keywords: cultural hybridity; globalisation; identity; cultural studies; communication; media studies; postcolonial theory; digital culture; transnationalism
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.047 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".