Bibliographic record
Abstract
I Cry for the Night Lorraine Caputo (bio) This evening I watch the blaze climb the volcano's slopeslava-likereaching close to those sleepless homesthe smell of burnt wood burnt grass, burnt alpine brush stings the sky & on the other side of the valley … & another wildfire to the south & another & another & beyond that far side of the vale, when the clouds partbillowing columns of acrid ash come from the depths of another fiery giant We wait, we await for the explosion from the earth's heartfrom the indigenous anger gathering in the sierra & the jungle We wait, we await silenced by decrees [End Page 54] & in the ash of wildfires & volcanoes& in the ash of burnt homes I cry for the night that has befallen this earth ________ Why is the moon full again tonight behind those broken cloudswhisping across the sky torn & frayed by a windripping at tin roofs nails straining to keep them from flyingthrough this cold, silent night wind howling through cracks down chimneys Something is afoot some fate awaits us. … Why is the moon full again tonight? ________ From my terrace I used to watch the sun hitched to this hill across the valley On Inti Raymi, riding the north slopeOn Kapak Raymi, touching the southern rise [End Page 55] But now it seems to never slide southward. … I think of the Inuit elders' warnings: The stars have shifted … & I cry for the night [End Page 56] Lorraine Caputo The works of poet-translator Lorraine Caputo (on the road, Latin America) appear in over 300 journals on six continents and 20 collections of poetry—including On Galápagos Shores (dancing girl press, 2019). Her writing has been nominated for the Best of the Net. She journeys through Latin America, listening to the voices of the pueblos and Earth. "I Cry for the Night" was inspired by the seasonal wildfires near Quito, Ecuador and was previously published in Voice of Eve, Issue 16 (July 2019). Copyright © 2023 The University of Mississippi
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 | 0.000 | 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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".