Bibliographic record
Abstract
To Look at Earth from However Many Light-Years Away Matthew Olzmann (bio) Keywords Matthew Olzmann, earth, space, elements, storms, fault lines is to look at Earth as it once was not as it now is.Still, the blueness will be recognizable. It’s the samewhen looking at a photograph of yourself as a child. That birthmark above your brow, that toothless grin—some trace element of you inside the artifact of you. If you could speak to that child, what wordswould you offer? Advice? A warning? Don’ttake the job in Toronto, you might say.Don’t place your faith in a stranger with sweet voice. And if you were looking at the Earth from the edgeof the galaxy, the light that finds youwould be light from nearly a million years ago. Before any of us crawled from our first caves, beforewe sung of war in banquet halls, beforeour anxieties. Again, you will want to protectthis younger soul, to share some guiding token of wisdom, but what’s there to say about fault linesthat have not yet opened, mythic foreststhat have not yet vanished, storms that even noware only beginning to make themselves known? [End Page 63] Matthew Olzmann matthew olzmann is the author of Constellation Route as well as two previous collections of poetry: Mezzanines and Contradictions in the Design. A recipient of fellowships from Kundiman, MacDowell, and the National Endowment for the Arts, Olzmann’s poems have appeared in the New York Times, Best American Poetry, the Push-cart Prizes, Kenyon Review, and elsewhere. He teaches at Dartmouth College and in the MFA Program for Writers at Warren Wilson College. Copyright © 2023 The Massachusetts Review, Inc
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.144 | 0.068 |
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".