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Record W4206708447 · doi:10.12987/9780300210279

Globetrotter

2020· book· de· W4206708447 on OpenAlexaboutno aff
David Albahari

Bibliographic record

VenueYale University Press eBooks · 2020
Typebook
Languagede
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsSerbianBlameJealousyShameScrutinyParagraphIdentity (music)HistoryPaintingArtArt historyAestheticsLawPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

One of the most prominent writers to emerge from the former Yugoslavia addresses such universal themes as exile, disorientation, and obsession Displaced from his home more than twenty years ago as Bosnia, Croatia, and Serbia descended into war, Serbian author David Albahari found safety in Canada, where this novel was written. In Globetrotter, Albahari deals with the bewilderments of exile and lost identity, themes he has investigated in earlier works. But in this unsettling experimental book he also enters new arenas, where sexual identity and the nature of blame and guilt attract his scrutiny. Narrated in a single uninterrupted paragraph, the novel takes place in the late 1990s at the Banff Art Centre in the Canadian Rockies. Three men—a painter from Saskatchewan and the narrator of the tale, a writer from Serbia, and a man whose traveling Croatian grandfather long ago jotted his name in a local museum’s guest book—become acquainted, then attached, then fatally entangled. On a climactic mountain hike that seethes with jealousy, desire, shame, and guilt, each man must engage in a final struggle. Albahari seizes his reader’s attention and never yields it in this remarkable, gripping tale.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.320

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 studies0.0050.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0960.022

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 head0.181
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
Published2020
Admission routes1
Has abstractyes

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