La conversa metodológica para las cartografías de la memoria en la ciudad de El Alto: Apthapi de saberes
Bibliographic record
Abstract
The present article proposes the Apthapi de Saberes methodology from “conversa (al paso)” (informal conversation in passing), applied to the construction of memory cartographies in the 12 de Octubre area of the city of El Alto, Bolivia. It is framed within a qualitative approach that prioritizes horizontal dialogue with the community. Through the participation of elderly residents, historical narratives about the formation of the area are collected, allowing for an understanding of its transformation from a collective and situated perspective. The methodology integrates participatory cartographies with the use of historical and visual photographic material. Additionally, the proposed method led to the identification of key categories such as the process of self-managed urbanization, the configuration of popular commerce, and the gradual implementation of basic services. These findings were materialized in a community Archizine and a digital storytelling project, formats designed to democratize access to knowledge, enabling an accessible and participatory reading experience. These were shared with the community in printed form, featuring artisanal binding. Finally, the article reflects on the implications of the Apthapi de Saberes as a replicable methodology in other contexts where knowledge production has traditionally been shaped by external perspectives and where the preservation of oral traditions is essential. Ultimately, this methodology not only documents the past but also strengthens the identity and memory of the area through its own residents.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".