Landscape and collective memory in post-conflict Ayacucho, Peru: Narratives and photography of survivors.
Bibliographic record
Abstract
Peru was enveloped in an internal armed conflict from 1980 to 2000. The Shining Path, a militant communist group, sought to revolutionize Peru through violence. Indigenous Peruvians were targeted in extrajudicial massacres and killings. Nearly 70,000 people, mostly indigenous, were either killed or disappeared by both the Shining Path and government military forces (CVR 2004). Today, post-conflict Peru still grapples with the human rights violations of the past and is challenged to achieve reconciliation. For the victims of violence, how the memory of the conflict is conveyed is an important element of the transitional justice process (Alexander et al. 2004). My interdisciplinary research explores collective memory, the shared representation of the past that is socially constructed by a group of people (Halbwachs 1992). The Peruvian Truth and Reconciliation Commission identified the region of Ayacucho as the epicentre of violence during the conflict (CVR 2004, 21).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".