Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Invocation, and: Fire Starter Alycia Pirmohamed (bio) Invocation Somewhere, they are kneelingand I am forgetting your name, how to hold each fragmentof sound in my mouth— Allah,my thoughts are scattering in the wind. They land in Dar es Salaam,in India, in miles of golden grass.Sometimes, they fall into my own palms as I pray next to my fatherfor my father. My Father, I am discovering howto feel loneliness in a series of languagesby cutting open each word like a dark black plumonly to eat the skin. [End Page 105] Tell me I am a little closerto the beginning that I am a young tree on the sideof a mountain, a birdcircling a volcano, or simply a sound travellingvertical. Fire Starter This is the humof a northern forest. Don't forget all of the saltthat has gone into this healing— winceif you must, call out to India for two hundred yearsif you must. I am building a home andburning down my body that has never feltlike my body, drinking from a springto balance [End Page 107] all of this smoke. I am building a firethat snags onto the redwoods. I want to redesign this dishmy body was born into,cardamom and brown skin multiplying within the agar.Hair that smells like burning grass,a landscape that reaches for another land. [End Page 108] Alycia Pirmohamed Alycia Pirmohamed is a PhD candidate at the University of Edinburgh, where she is studying figurative homelands and the work of second-generation immigrant artists in Canada. Her work has recently appeared or is forthcoming in Glass: A Journal of Poetry, wildness, Dogwood: A Journal of Poetry and Prose, Grain Magazine, and Vallum Contemporary Magazine. She was born in Alberta, Canada, and she received a mfa from the University of Oregon. Copyright © 2018 University of Nebraska Press
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it