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Record W4386502680 · doi:10.1515/9781772126983

Monitoring Station

2023· book· en· W4386502680 on OpenAlexaboutno aff
Sonja Ruth Greckol

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2023
Typebook
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceGeographyComputer science

Abstract

fetched live from OpenAlex

Sonja Ruth Greckol’s Monitoring Station enters a slipstream of space and planetary language, circling time, embodying loss and longing, generating and regenerating in a faltering climate. Orbiting through a mother’s death, a grandbaby’s birth, and a pandemic summer, these poems loop and fragment in expansive and empathetic ways. The title poem locates a settler voice revisiting Treaties 6 and 7 and the Métis lands of her Alberta childhood, while the overall collection is tethered to Toronto shadowed by northland prairie. Nimble, energetic, and challenging, the book engages a dense kind of poetic thinking about belonging and responsibility to people and place, within both recent history and far-flung cosmic realities. Falling squarely within a Canadian feminist experimental lyric trajectory, and grounded in bodily, personal, and political experience, Monitoring Station embodies the passage of a damaged world across generations.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.528
Threshold uncertainty score0.673

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5280.253

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 head0.017
GPT teacher head0.182
Teacher spread0.165 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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