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Record W4296859784 · doi:10.5325/marktwaij.20.1.0070

The California and Hawaii Notebooks: Pencils, Pocket Notebooks, and the Messiness of Mark Twain

2022· article· en· W4296859784 on OpenAlexaboutno aff
Blake Bronson-Bartlett

Bibliographic record

VenueThe Mark Twain Annual · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Literature and Humor Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Audience measurementArtPeriod (music)GestureArt historyQuarter (Canadian coin)LiteratureVisual artsHistoryLinguisticsPhilosophyArchaeologyAdvertisingAesthetics

Abstract

fetched live from OpenAlex

Abstract This article is about Clemens’s early California and Hawaii notebooks (Notebooks IV–VI, Jan. 1865–Apr. 1866), which he used during the period recounted years later in approximately the last quarter of Roughing It. An illustrated reading of the notebook makes three general points: first, that Clemens used pocket notebooks and graphite pencils (the mid-nineteenth-century’s portable media) to train himself to write down experience as he saw and heard it; second, that the traces left by this training process were (and are) ironic, because they visibly and comically fail to capture experience; and third, that Clemens referred to the notebooks throughout his career for their evocative gestures (as much if not more than the linguistic contents). Following readings of the notebooks that are grounded in graphite traces and their multiple afterlives in print, this article concludes by hailing their forthcoming publication online, where other scholars and general readership will be able to see their traces.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.178
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.008
GPT teacher head0.191
Teacher spread0.184 · 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
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

Citations1
Published2022
Admission routes1
Has abstractyes

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