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Record W3030531818 · doi:10.22215/etd/2014-10405

NGOs and Memory in Colombia: The Case of Medellin

2014· dissertation· en· W3030531818 on OpenAlexaffabout
David Barrios Giraldo

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsCarleton University
Fundersnot available
KeywordsNarrativeSet (abstract data type)Collective memoryPolitical scienceProcess (computing)Government (linguistics)Social memoryCivil societySociologyComputer scienceCognitive sciencePsychologyPolitics

Abstract

fetched live from OpenAlex

This thesis is concerned with analyzing the production of narratives of the past in different social contexts such as those to which the NGOs of Medelln have access. My approach to memory, from the concept of institutional memory, tries to understand the ways in which institutions such as NGOs occupy a place within the power structures and how they have an impact on the representations of the past. This thesis is organized into three chapters. The first chapter develops the theoretical framework of the thesis in which I argue the importance of the concept of institutional memory. In the second chapter, I seek to identify the origins of contemporary memory practices in Medelln. I concentrate on describing how the process of urbanization of Medelln made local memory practices very particular and noteworthy. Throughout this chapter, I unveil the historical links between the already mentioned organizational experiences and the contemporary interest in memory. And finally, in the third chapter, I examine a set of important institutional memory initiatives to demonstrate how neighborhood-based organizations were dispossessed of their own ways of remembering. In this chapter, I demonstrate that such practices entered into the civil society organization model promoted by NGOs and the local government. This work represents my interpretation of the process described. It contributes to a suggestive understanding of the processes regarding memory practices and commemoration over the past twenty years in Medelln. Six years ago, while working as dishwasher in an Italian restaurant in Halifax, I could not foresee the moment of writing my thesis acknowledgements. It seemed impossible back then but I stubbornly persevered.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.999

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)0.0020.000

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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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 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
Published2014
Admission routes2
Has abstractyes

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