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Record W4390811642 · doi:10.1515/9780228019473

act normal

2023· book· en· W4390811642 on OpenAlexaboutno aff
davis halifax nancy viva

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2023
Typebook
Languageen
FieldMedicine
TopicScience, Research, and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

i might never be no-one that shiny / the beauty of a sequin’d self / what was stitched into heaven’s drop The poems in act normal use illegibility and wilful uncertainty to evade the grasp of the normative, as endured by those institutionalized by, and through, the concept of normalcy. act normal starts in an institution where children categorized and constructed as intellectually inferior are placed into custodial care. These poems are inquisitive, articulating the entanglements of lives across categories of difference – particularly the lives of those who as children were considered to be other or less than human. Drawing upon conversations, archival materials, court cases, legislation, transcripts, and case histories, among other sources, nancy davis halifax’s poems destabilize categories of meaning – understanding disability and difference as “undecidability.” act normal is a movement of “feelingthought,” unsettling normative expectations and inviting readers to re-orient from the normative task of assuming the safety of consensual interpretation, while risking, cherishing, and performing non-indifference.

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)0.001
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.006
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0890.048

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 head0.029
GPT teacher head0.263
Teacher spread0.234 · 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
Published2023
Admission routes1
Has abstractyes

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