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Record W4410839199 · doi:10.1111/nana.13122

Imagining the Nation in the 21st Century

2025· article· en· W4410839199 on OpenAlexafffund
Anna Triandafyllidou

Bibliographic record

VenueNations and Nationalism · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

ABSTRACT This paper investigates how our imagining of the nation has evolved from the 1600s to this day. Reviewing the well‐known analysis of Benedict Anderson, this paper carries the argument further, investigating how our imagining of our national communities has changed alongside sociopolitical, economic and technological transformations. After offering a review of Anderson's argument, this paper discusses the ways in which the emergence of mass communication and mass electronic media, notably radio and, most importantly, television, has shaped our imagination in the direction of ‘banal nationalism’ as Billig argued in 1995. Considering more recent and quite dramatic changes in our communication technologies and the emergence of social media, this paper considers how our imagination of the nation has also been reshaped. The new interactive mediatic environment offers new possibilities of imagining the national community. Such possibilities carry within them the potential for both fragmentation and rupture, as well as that for pro‐social mobilisation. This paper concludes by discussing whether this new technological environment necessarily breeds polarisation or also contains within it the seeds of depolarisation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.033
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.308
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2025
Admission routes2
Has abstractyes

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