MétaCan
Menu
Back to cohort
Record W3120657945 · doi:10.14258/izvasu(2020)6-04

Memory Politics: US

2020· article· en· W3120657945 on OpenAlexaboutno aff
Иван Курилла

Bibliographic record

VenueIzvestiya of Altai State University · 2020
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyPoliticsCharacter (mathematics)Quarter (Canadian coin)DemocracyForeign policyPolitical sciencePeriod (music)Political economyExhibitionEconomic historyHistorySociologyLawAestheticsArt historyArt

Abstract

fetched live from OpenAlex

Conflicts about the Past are no less characteristic of the United States than of European countries, although there they are more often referred to as a variant of culture wars. They are especially pronounced during periods of internal political crises, since the role of foreign policy in American discourse is almost negligible. Thus, memory of the World War II in the United States was used to unite the nation and did not, unlike in many European countries, become a basis for conflict with its neighbors. The article demonstrates how the two harshest conflicts over the Past in the last quarter century were connected with the crises, first of the Republican Party (the case of the Enola Gay exhibition in 1995), and then the Democratic Party (the case of the removal of Confederate monuments in 2017). The attack on the symbols of the Past after they ascribed to them negative meanings allows activists to mobilize supporters and overcome the ideological vacuum characteristic of a critical period. In other cases, both regarding the foreign policy “apologies for the USA” or the protests of the Italo-Americans after the authorities’ rejection to commemorate Christopher Columbus, conflicts did not acquire national character.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.259
Teacher spread0.227 · 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.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueIzvestiya of Altai State UniversitySame topicMemory, Trauma, and CommemorationFrench-language works237,207