Bibliographic record
Abstract
The essay first shows that Gloria Anzaldúa’s Borderlands aligns with many Jungian psychological concepts, including the shadow, the collective unconscious, the unus mundus, and active imagination. It then reads the text through the lens provided by James Hillman’s Re-Visioning Psychology, a book she considers “instrumental.” His personifying, pathologizing, psychologizing, and soul-making or dehumanizing—a reworking of the Jungian individuation process—provide relevant analogies for Anzaldúan thought, particularly her conocimiento process. Using Hillman as a lens helps to schematize her broad array of subjects. Despite depth psychology’s relevance to Borderlands, however, the essay argues that Anzaldúa’s Borderlands re-visions Re-Visioning Psychology by emphasizing expanded states of awareness, body wisdom, and the spirit world in order to provide a more inclusive vision of the psyche than Hillman puts forth. Thus, the essay demonstrates that Jung—as well as Jung-via-Hillman—contributes more to the hybridity of Anzaldúa’s work than has been previously recognized.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".