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Record W4360965922 · doi:10.1353/mar.2023.0007

To Look at Earth from However Many Light-Years Away

2023· article· en· W4360965922 on OpenAlex
Matthew Olzmann

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œMassachusetts review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryHistoryPraiseBanquetLiteratureArt historyArtMedia studiesSociology

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.246
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.017

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.

Opus teacher head0.035
GPT teacher head0.287
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it