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Record W2023548363 · doi:10.1353/rcr.2011.0006

A Slow Thaw

2011· article· en· W2023548363 on OpenAlexaboutno aff
Linda Godfrey

Bibliographic record

VenueRed cedar review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNiceArt historyArtDozenFalling (accident)HistoryPsychologyComputer scienceMathematics

Abstract

fetched live from OpenAlex

A Slow Thaw Linda Godfrey Here is the story I tell myself. I live in a nice house in a nice town with a nice husband and two nice kids. True, it is winter, the time for stories and high-banked fires, but when I tell you the real story, the one that lives outside my head when I'm not looking, you'll know why I'm a story teller, a liar speaking truths. Pay attention. Here goes. The sky hangs low, dull as oxidized silver. Another winter in upstate New York thirty miles from the Canadian border: sub-zero nights, snow banks high as giraffes, cars docked in driveways, their die-hard batteries electrical flatlines. At least a dozen people will kill themselves: cabin fever, full-spectrum light deprivation pulling the trigger or tying the noose. It is February. What would you like for your birthday, my husband asks. How about a divorce, I say. He laughs, pops open his eighth can of Bud, turns up the volume on a Knicks game. Dribble. Dribble. Pivot. Dunk. My nice house swells with the stomp, clap, hurrah of a basketball-frenzied crowd. I look at my watch. 2:00 p.m. Four more hours until he passes out on the couch. Here is the story I tell myself. I live in a nice house in a nice town with an alcoholic husband and two nice kids. Spring will never come. Not this year, so I grow it inside me, feeding myself stories about morning glories, rainbows, hummingbirds and a little [End Page 116] old lady who lives in a big shoe, eats strawberry-rhubarb pie and dates a crooked man who has walked a crooked mile and is now tired enough to finally settle down and make a commitment. When he moves in, her big, high-buttoned house suddenly seems a tight fit. Bunions begin to sprout. She sells, makes a killing in real estate and avoids paying capital gains tax by buying a sprawling crooked house where she and her crooked man live together with a little crooked mouse. Jack and Max are six and seven. They look like their father, heavy-lidded and uninspired, so I try to wrap them in stories, my thermal underwear of words to warm their genetic winters. And the horse goes lumpety-lumpety-lump, I say. Or clumpity-clump or cloppity-clop. Its tail goes wiggily-waggily. This horse has a friend, a squirrel, who goes hippity-hoppity, its tail a whirly-twirly, its teeth a snappity-crackity. Fiddle-de-dee said the bumble bee and I laugh and laugh, flying away on the wings of my words then zooming back to lay them like a magic carpet at my children's Reeboked feet. Aw, that's sissy stuff, says Max. Yeh, stupid, adds Jack. Geez! Who cares about a dumb old horse or a squirrel named Whisky Frisky. So I stick them in front of the upstairs TV for the rest of their lives, let them fight undisturbed over the remote, and wait. This year their father bought them a Rambo Christmas and they pull on camouflage clothing, strap on toy submachine guns and fire rounds into me until their ammo clips are empty. They get mad when I refuse to drop to the floor and play dead. Here is the story I tell myself. I live in a nice house in a nice town with an alcoholic husband and two contemptuous kids. Spring does come as springs do. Then another and another right on schedule. But I like to think crocuses and daffodils and budding trees have nothing to do with a rotating mass in space turning on its axis. I like to think that old man winter just gets tired of weaving snowflakes, icicle trees and snow blankets and simply takes a break to survey the damage: tally the number of body bags zipped, anti-depressants and pints of alcohol sold, pounds gained per person. [End Page 117] I begin to dream. Sometimes I am a waitress on the early shift, my hair battened down by a bun, eight bobby pins and a hairnet, my eyelids patches of pale blue...

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 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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.870
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.131
GPT teacher head0.353
Teacher spread0.222 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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