Assimilation, Space, and the Mother Goddess in Sandra Cisneros’s “Mericans” and “Tepeyac”
Bibliographic record
Abstract
In the United States, Chicano/as try to preserve and defend their ‘mestizaje,’ that is hybridity, in an attempt to resist hegemony and assimilation. Chicano/as are denied an ‘American’ identity because of their ‘Metis’ or hybrid culture; they are, rather, ‘hyphenated Americans.’ For this reason, they go back to the past to revise ‘History’ and resurrect the ‘Myths’ of their ancestors, the ‘Mothers’ of their Motherland. La Virgen de Guadalupe is another face of the Mother Goddess Coatlalopeuh who was disfigured and transformed into a ‘virgin’ Lady, leaving the dark ‘terrible’ side of the mask to the ghost/shadow: La Llorona. The article focuses on two short stories by Sandra Cisneros, “Mericans” and “Tepeyac,” to study how through re-visiting the ‘Mother,’ Chicano/as reread the ‘Hi(s)tory’ of the ‘Hero’ who brought ‘civilization’ and Christianity to the Aztecs, emphasizing the ‘ethnic’ presence of the Goddess and her ‘brown’ descendants and, hence, ‘reclaiming ’ a space of their own.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".