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Record W3096143984

Bleach / Fire Fallow

2020· article· en· W3096143984 on OpenAlex
Andrea Charise

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArs Medica · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryHistoryApprehensionAestheticsPsychologySociologyLiteratureArt
DOInot available

Abstract

fetched live from OpenAlex

strange resonances of intergenerational connection. Bleach is an autobiographical reflection that explores the strange resonances of intergenerational connection. The author considers how the memory of her grandmother—and the transmitted stories of her grandmother’s own childhood—can be seen anew through her own apprehension of growing old. “As I nurse my own hair’s / whitening, I coax age through / and out of me—my body, in time, entangling / these hard traces of the past.” Integrating images of bleaching and stains, farming and public health, depression and growth, Bleach braids together past and present in its search for “lessons / on how to grow old.”  In “Fire Fallow,” the author draws on the conventions of prose poetry to explore the phenomenological nature of mental health and illness, burnout especially. Using the historical catastrophe of the volcanic eruption of Pompeii as a conceit, Fire Fallow explores the terrible paradoxical intimacies of creation and destruction, the chronic fiction of a work-life balance. Turning away from false comforts--the insufficient language of resilience, regrowth, and regarging--this poem grapples with the reality of health care work and life with a clear-eyed lesson: What lights our way will burn our skin and scorch the earth.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.164
GPT teacher head0.443
Teacher spread0.278 · 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