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Record W7068229019

My Mortal Enemy

2022· article· en· W7068229019 on OpenAlexaboutno aff

Bibliographic record

VenueVědecká knihovna v Olomouci (Research Library in Olomouc) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicFluoride Effects and Removal
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)The artsFrontierMemoirState (computer science)Gold medalCriticismPoliticsAdversaryWorld War II
DOInot available

Abstract

fetched live from OpenAlex

Wilella Sibert Cather was born in Back Creek Valley (Gore), Virginia, in December 7, 1873.She grew up in Virginia and Nebraska. She then attended the University of Nebraska, initially planning to become a physician, but after writing an article for the Nebraska State Journal, she became a regular contributor to this journal. Because of this, she changed her major and graduated with a bachelor\'s degree in English.After graduation in 1894, she worked in Pittsburgh as writer for various publications and as a school teacher for approximately 13 years, thereafter moving to New York City for the remainder of her life.Her novels on frontier life brought her to national recognition. In 1923 she was awarded the Pulitzer Prize for her novel, \'One of Ours\' (1922), set during World War I. She travelled widely and often spent summers in New Brunswick, Canada. In later life, she experienced much negative criticism for her conservative politics and became reclusive, burning some of her letters and personal papers, including her last manuscript.She was elected a Fellow of the American Academy of Arts and Sciences in 1943. In 1944, Cather received the gold medal for fiction from the National Institute of Arts and Letters, an award given once a decade for an author\'s total accomplishments.She died of a cerebral haemorrhage at the age of 73 in New York City.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0740.003

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 head0.290
Teacher spread0.264 · 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
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
Published2022
Admission routes1
Has abstractyes

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