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Record W2539112704 · doi:10.17169/refubium-12239

Memories of Violence, Dreams of Development - Memorialisation Initiatives in the Peruvian Andes

2016· dissertation· en· W2539112704 on OpenAlexfundno aff
Markus Weissert

Bibliographic record

VenueRefubium (Universitätsbibliothek der Freien Universität Berlin) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsnot available
FundersEnvironment and Climate Change Canada
KeywordsArtGeographyHistoryArt history

Abstract

fetched live from OpenAlex

Places of memory – museums, monuments or the performances surrounding them – have become a ubiquitous feature of transitional justice processes across the globe. They are believed to make a significant contribution to such important transitional justice aims as justice, truth, reparation, acknowledgement, healing, and even development. However, there is still little understanding of the exact role and impact of places of memory in transitional justice processes, especially at the local level. Thus, this dissertation focuses on how one specific transitional justice mechanism, namely memorialisation, plays out at the local level, and gives important insights on which role places of memory can and cannot play as a transitional justice tool in general, and specifically at the local level. The aim of this work, then, is to highlight the ‘glocal’ politics of memory that become visible in the creation of local places of memory. By analysing three different memorialisation initiatives in communities in the highlands of Ayacucho, the region most affected by the Peruvian civil war, it shows how local memorialisation initiatives are created and used by different social agents from within and outside of the community in an ongoing process of adjustment, transformation and resistance in order to deal with the past and represent themselves for the future. This is done by an agency-centred approach that emphasises the complex negotiation processes between different agents that produce politics of memory and representation from differing power positions. The dissertation shows that Peruvian human rights organisations and foreign development agencies have introduced highly standardised and globalised forms of representations to even remote communities of the Andes. Museums and memorials in Peru convey messages of the acknowledgement of victimhood, the re-construction of the social fabric and an awareness of the danger of the re-occurrence of past crimes. But they also portray the local population as being innocently caught between the lines of the guerrilla and the armed forces. The local population partially embrace the messages the places of memory carry, but also use them to emphasise their victimisation and to present themselves as passive and deserving victims in need of constant development projects. They thereby counter the envisaged goals of the places of memory meant to contribute to a sense of active citizenship by instead trying to achieve their dreams of development via clientelistic relationships with the state, NGOs or development agencies. All memorialisation projects analysed also demonstrate a lack of ownership, visible in the rapid decay of the museums and monuments constructed. This also shows the dangers of applying globalised forms and representations to an affected local population without adequate processes of consultation. While memorialisation initiatives can be promising vehicles for achieving transitional justice goals such as acknowledgement, truth, justice, reparation, healing and development, this dissertation calls for carefully and more openly designed and grounded processes that engage the local population in a more active fashion.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0130.014
Scholarly communication0.0060.004
Open science0.0010.013
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.293
Teacher spread0.276 · 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 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

Citations1
Published2016
Admission routes1
Has abstractyes

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