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Record W2893893076 · doi:10.1177/1077800418801375

Faraway, So Close: Seeing the Intimacy in Goodreads Reviews

2018· article· en· W2893893076 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Inquiry · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsReading (process)SocialityThematic analysisPhenomenonPsychologySociologyAestheticsEpistemologyLinguisticsQualitative researchSocial scienceArt

Abstract

fetched live from OpenAlex

Book reviews written by readers and published on digital sites such as Goodreads are a new force in contemporary book culture. This article uses feminist standpoint theory to investigate the language used in Goodreads reviews to better understand how these reviewers articulate intimate reading experiences. A total of 692 reviews of seven bestselling fiction and nonfiction books are analyzed by two methods. The first, thematic content analysis, involves close reading of the reviews. The second, sentiment analysis, is an automated “distant reading” process. These methods prompt us, as researchers, to reflect on the way they foster or inhibit a sense of proximity to readers, even as they reveal predominant features of Goodreads reviews. Together, the methods reveal that 86.1% of Goodreads reviews describe a reading experience, and 68% specifically mention an emotional reaction to the book, with the emotion most intense in reviews of fiction. Reviews also create social connections by mentioning other readers, authors, characters, and people from the reviewer’s life. Through their emotional language and sociality, Goodreads reviews present distinctive, intimate reading practices, constituting a new cultural phenomenon, and a unique opportunity for investigation.

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.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.172
GPT teacher head0.498
Teacher spread0.326 · 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