Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
O presente ensaio visual foi desenvolvido por Michel Peterson e Christian Peterson para a Revista Paralelo 31. As imagens e textos fizeram parte do conteúdo da Exposição Internacional no espaço expositivo A Sala, no Centro de Artes da UFPEL em maio de 2017. O ensaio propõe uma imersão numa pequena parte de conteúdo textual e imagético vasto, que já foi levantado pelo projeto de pesquisa do ROBAA (Roads of Bones And Ashes / A estrada dos ossos e das cinzas). Esta composição apresenta-se como um convite à reflexão, de uma perspectiva geopoética que, com grupo multidisciplinar, propõe problematizar os genocídios contemporâneos e seus apagamentos.Helene Sacco Where are/lie the bones...This visual essay was developed by Michel Peterson and Christian Peterson for the periodical Paralelo 31. The images and texts are from an international exhibition which took place at the gallery space A Sala, located at the Centro de Artes of the Federal University of Pelotas-UFPel, Brazil, in May of 2017. The visual essay proposes to immerse us in a small part of the vast pool of texts and images, which have been gathered through the research project ROBAA (Roads of Bones And Ashes ). This composition, presented as an invitation towards reflection that, with a multidisciplinary group, proposes to put a geopolitical perspective on contemporary genocydes and their obliteration.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.091 |
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 it