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Record W1792571737

Identity and Collective Memory in Jorge Sanjinés’ La nación clandestina

2011· article· es· W1792571737 on OpenAlexaff
James Restrepo

Bibliographic record

VenueA Contracorriente: Revista de Historia Social y Literatura en América Latina · 2011
Typearticle
Languagees
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsWestern University
Fundersnot available
KeywordsGlobalizationIndigenousCollective memoryModernityPoliticsCollective identityIdentity (music)SociologyPolitical economyNation stateState (computer science)Political scienceAestheticsLawArt
DOInot available

Abstract

fetched live from OpenAlex

The increasing disparity between projects of modernity and the capacity of many nation-states to cope with the rapid development of globalization has created massive changes and to some extent, convulsions inside their respective societies and state apparatus. On the one hand, we are witnessing the expanding role and presence of global institutions and corporations in isolated and marginalized societies, especially in the fields of commerce and political influence; and on the other, we observe the consequences that these changes are having in the transformation of identities and collective memories inside these societies, transformations that accelerate with phenomena such as human migration. La nacion clandestina (1989), by Bolivian filmmaker Jorge Sanjines, explores the impact of these changes in rural Bolivia, revealing a strong collective memory that struggles for both resistance and survival. This article seeks to examine the concept of collective memory and indigenous identity in the film, arguing that contemporary migration presents not only an avenue for connecting with the globalization project, but also an accelerated way of

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.018
GPT teacher head0.282
Teacher spread0.264 · 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 designNot applicable
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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueA Contracorriente: Revista de Historia Social y Literatura en América LatinaSame topicPhilippine History and CultureFrench-language works237,207