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Record W4400792349 · doi:10.1515/9781773855158

Invisible Lives

2024· book· en· W4400792349 on OpenAlexaboutno aff
Cristalle Smith

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicAutobiographical and Biographical Writing
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Invisible Lives chronicles cycles of dysfunction and domestic violence. Using experimental hybrid poetry, Cristalle Smith breaks generational silence in lyric resonance, reflecting on a childhood rife with upheaval and poverty, the invisibility of single motherhood, and the silence of domestic violence. These poems sing memory across divides of time and space, breaking the patterns of absence and denial and challenging what is kept unseen. Associative leaps chronicle the daughter of a family always on the move. Family secrets thaw in spring mud. Invisible Lives delivers poetic meditations collaged with pop culture and impossibly colliding landscapes. The prairies of Alberta collapse into the sinkholes of northern Florida in a cacophony of lyric layering. Smith's fierce and electric voice breaks taboos and challenges the status quo. She sings poor and working class lives, young lives, the lives of mothers, grandmothers, and daughters, the lives of veterans, lives that have endured layers of intersecting trauma and violence. Invisible Lives is an interrogation of power and intimacy that gives a new voice to the people who survive.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.325

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 studies0.0050.004
Scholarly communication0.0070.005
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0970.027

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 head0.026
GPT teacher head0.178
Teacher spread0.152 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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