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Record W3166738867 · doi:10.1177/02637758211013038

The place of the dead, the time of dictatorship: Nostalgia, sovereignty, and the corpse of Ferdinand Marcos

2021· article· en· W3166738867 on OpenAlexafffund
Bobby Benedicto

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDictatorDictatorshipAuthoritarianismSovereigntyWifePower (physics)DemocracyPoliticsCoffinLawHistoryArt historyArtSociologyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

In 1993, the body of former Philippine dictator, Ferdinand E Marcos, was moved from Honolulu, Hawaii, where he died in exile, to a private mausoleum attached to his ancestral home in Batac, Ilocos Norte. Preserved and placed in a refrigerated coffin while his wife, Imelda, lobbied for his burial at the Heroes' Cemetery, Marcos's body remained on display until 2016, when permission for his interment was granted by the newly elected president, Rodrigo Duterte. Drawing on fieldwork conducted at the Marcos Mausoleum prior to the controversial burial and at the protests that came in its wake, this essay examines the sense of loss and longing that has animated the rise of authoritarian nostalgia. Banished yet unburied, the dictator's embalmed corpse, I suggest, speaks to what remains unmourned under democracy and which thus always threatens to return-namely, a figure of unfettered freedom and authority, whose power might be said to extend over life, death, and time itself. I argue that it is this figure-the figure of a sovereign gone missing-that authoritarian nostalgia takes as its object and which grows more seductive in light of the hollowing out of popular sovereignty that has come to define the post-revolutionary experience.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
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 head0.011
GPT teacher head0.230
Teacher spread0.218 · 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 designQualitative
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

Citations5
Published2021
Admission routes2
Has abstractyes

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