PARCOURS MEMORIELS AMERINDIENS ET GEOPOETIQUE DES CONFINS - AMERINDIAN MEMORIAL ITINERARIES AND GEOPOETICS OF THE CONFINES
Bibliographic record
Abstract
RESUME : Il s’agit d’interroger les figurations des rapports des Amérindiens au continent américain dans des textes littéraires qui ont recours à la mémoire pour mettre en scène des « territoires lointains » et leurs populations autochtones: les territoires nordiques du Canada (Chants polaires de Jean Morisset, 2002) ; la forêt amazonienne (Yuxin-Alma de Ana Miranda, 2009) ; la Terre de Feu (Luna roja de Leopoldo Brizuela, 2002). De l’extrême-Nord à l’extrême-Sud du continent américain, en passant par la forêt amazonienne, c’est la construction imaginaire de la conception de « confins », renvoyant à la dichotomie entre civilisation et terres sauvages, qu’il nous intéresse d’examiner tout en soulignant les modalités spécifiques d’appropriation des éléments d’une mythologie de l’espace américain mises en place par les différents textes littéraires. MOTS CLES : mémoire, Amérindiens, confins, espace américain ABSTRACT: The representations of American Indians relationship to the American continent are investigated in literary texts that use memory to stage the "distant lands" and their indigenous peoples: the northern territories of Canada (Chants Polaires by Jean Morisset, 2002); the Amazonian forest (Yuxin-Alma by Ana Miranda, 2009); Tierra del Fuego (Luna roja by Leopoldo Brizuela, 2002). From the far north to the far south of the American continent through the Amazon forest, we are interested in the imaginary construction of the conception of "confines", referring to the dichotomy between civilization and wilderness, while emphasizing the specific modalities of appropriation of elements of a mythology of the American space implemented by the various literary texts. KEYWORDS: memory, Amerindians, confines, American space
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".