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Record W4401205594 · doi:10.3998/mpub.12860987

By Touch Alone

2024· book· en· W4401205594 on OpenAlexfundno aff
Vanessa Warne

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2024
Typebook
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Manitoba
KeywordsComputer science

Abstract

fetched live from OpenAlex

<I>By Touch Alone</I> demonstrates how reading by touch not only changed the lives of nineteenth-century blind people, but also challenged longstanding perceptions about blindness and reading. Over the course of the nineteenth century, thousands of blind people learned how to read by touch. Using fiction, essays, letters, and speeches authored by blind readers, <I>By Touch Alone</I> traces the ways in which literacy changed blind people&#39;s experiences of education, leisure, spirituality, and social engagement. Analyzing records of activism and innovation as well as frustration, this study documents the development of an inkless book culture shaped by blind readers' preferences and needs. <BR /><BR /> While <I>By Touch Alone</I> features the writing and ideas of an understudied community of nineteenth-century blind authors, innovators, and activists, it also engages the work of sighted authors such as George Eliot and Rudyard Kipling to explore the culture-wide effects of reading by touch. The emergence of a new category of readers who did not rely on sight to read prompted sighted people to reimagine blindness and adopt more progressive attitudes toward blind people. In our own era, one characterized by the increasing digitization of our reading lives, Vanessa Warne's exploration positions scholars and blind readers to navigate present-day developments and shape the future of their reading lives. A carefully contextualized study of how reading by touch shaped Victorian culture, <I>By Touch Alone</I> adds new chapters to the history of disability and reading.

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 categoriesMeta-epidemiology (narrow)
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 score0.073
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)0.0000.000

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 head0.222
Teacher spread0.193 · 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 teacher head, not a consensus.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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