Bibliographic record
Abstract
My Honors Capstone project, H(u)ina, is an homage to my ancestors, my homeland, and to those who have believed in me these past four years. This project began in my Spring quarter of my junior year, and has come to completion in the Spring quarter of my final year, and celebrates the complexities of relation. As an indigenous woman, I learned from young the importance of community, and the power of words. Through poetry, I have found a way to process the world around me – just as my peers and I were challenged to do in our first Honors class, when asked to critically analyze not the situation of stories, but the aspect of individual-community relationships. In this collection, readers can share with me the joys and sorrows, the love and the radical that I have experienced as I’ve grown into the person I am today. Yet, poetry is not just about the writing. Indeed, each piece is its own kind of ecology. This I have learned through the field of anthropology, especially in looking at matters of concern, and surprisingly, the Everglades. As matters of concern outline the idea that no event or entity is separate from those around it, the idea so too explains the relationships between mangrove, taro, other rhizomatic plant systems, and us. Thus, I conclude this collection with a poetic essay on these entanglements with which we engage everyday, both consciously and unconsciously. In this network of poems, readers begin with birth and belonging, and conclude with the notion that there are no clear endings, beginnings, or middles, and thus we experience the true nature of relation.
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 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.480 | 0.223 |
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".