Bibliographic record
Abstract
A crise migratória de refugiados sírios e iraquianos não escapou da atenção de grandes instituições do fotojornalismo da atualidade. Para além das “obras primas” do fotojornalismo, a iconografia desta crise inclui as “imagens amadoras” realizadas pelos próprios refugiados, conforme os itinerários e as itinerâncias complexas, que desenham uma cartografia movente da migração. São imagens cuja sinceridade e valor demonstrativo inspiraram grandes redes mediáticas (Exodus: nossa jornada à Europa, BBC, 2016), que as consideraram expressões de uma autenticidade redescoberta. Em seguida, certas propostas artísticas se serviram de tecnologias militares capazes de elaborar mapas térmicos dos fluxos migratórios (Richard Mosse, Incoming, 2016), enquanto questionavam o lugar do espectador diante desta forma de exploração visual. Quais topografias da migração estes três modos de produção visual – jornalístico e canônico, amador e diaspórico, militar e artístico – estabelecem? Quais são as operações políticas a se reconhecer em cada um destes regimes representativos? É ao estudo das tópicas, crenças e perspectivas críticas encontradas no seio dessa triangulação visual do êxodo que este artigo se dedica.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".