Bibliographic record
Abstract
If Jose Marti coined the concept Our America as a key construct in the invention of Latin America as a continent, here we are proposing two geo-historical categories with the aim of decolonizing the spatial and temporal imaginary: Our Abiayala from Native American feel-thinking and Our Afroamerica from Afro-descendant feel-thinking. Our Afroamerica is a translocal territory that crosses over and transcends national borders throughout the Americas, while composing those spaces. Its historical universe and its spaces of culture and politics mark a geography extending from South to North, sketching the length and the width of the routes of enslavement and resistance, from Argentina to Canada, transgressing the –imaginary as well as material— ramparts of the Rio Grande, that separate Our America from the Northern Colossus. On that key, Our Afroamerica includes the Afro-Latin American histories and cultures from the Mexican North to the Patagonia, as well as the Afro-Latinx ones that exist in the United States, thus composing (together with the Afro-North American spaces, in themselves a montage of the cultures of Africanity) a vast and diverse historical archipelago that we denominate Afro-American Diasporas. The main argument of the article is that Our Abiayala and Our Afroamerica constitute critical geo-historical categories to decolonize our collective imaginaries and engender modes of re-identification of self, history, and future horizons, which are key in the new wave of antisystemic movements. The monograph will layout both categories but will focus in Our Afroamerica.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".