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Record W4312629398 · doi:10.15826/tetm.2022.3.030

Memory and Identity on the Borderland: Reinterpretation of Space

2022· article· en· W4312629398 on OpenAlexfundno aff
Yulia V. Zevako

Bibliographic record

VenueTempus et Memoria · 2022
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
FundersRussian Science FoundationUniversity of Ottawa
KeywordsReinterpretationIdentity (music)Space (punctuation)PoliticsSociologyEpistemologyState (computer science)Point (geometry)Everyday lifeOrder (exchange)Gender studiesAestheticsPolitical scienceLawComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In this article, the author gives a brief description of the studies of the borderland from the point of view of anthropology, problematizes the study of memory and identity on the borderland from the point of view of the theory of “places of memory” by P. Nora and the discursive nature of these phenomena. The author analyzes two cases, focusing on the mechanisms of space reinterpretation in order to form a new memory and a new local identity both through the efforts of state actors and through everyday practices. The author comes to the conclusion that successful practices of space reinterpretation are often associated with a radical change in the demographic characteristics of the border region and the implementation of an appropriate consistent policy that synchronizes with everyday practices of the development of this physical and socio-cultural space by local residents. Otherwise, different versions of the memory of the same space among different groups of the border population lead to an aggravation of the conflict potential of their interaction with each other and with central state institutions as they are interested in only one political project.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.332
Teacher spread0.304 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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