MétaCan
Menu
Back to cohort

Reception in the Digital Era

2016· reference-entry· en· W2600760253 on OpenAlex
DeNel Rehberg Sedo

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

VenueOxford Research Encyclopedia of Literature · 2016
Typereference-entry
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsReading (process)Argument (complex analysis)Variety (cybernetics)Social mediaMedia studiesThe InternetSociologyWorld Wide WebComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract The digital era offers a plethora of opportunities for readers to exchange opinions, share reading recommendations, and form ties with other readers. This communication often takes place in online environments, which presents reading researchers with new opportunities and challenges when investigating readers’ reading experiences. What readers do with what they read is not a new topic of scholarly debate. As early as the 14th century, when scribes questioned how their readers understood their words, readers have been scrutinized. Contemporary reading investigations and theory formation began in earnest in the 1920s with I. A. Richards’s argument that the reader should be considered separate from the text. In the 1930s, Louise Rosenblatt furthered the discipline, using literature as an occasion for collective inquiry into both cultural and individual values and introducing the concerns for the phenomenological experience of reading and its intersubjectivity. While there is no universal theory of how readers read, more recent scholarly discourse illustrates a cluster of related views that see the reader and the text as complementary to one another in a variety of critical contexts. With the advent of social media and Web 2.0, readers provide researchers with a host of opportunities to not only identify who they are, but to access in profound ways their individual and collective responses to the books they read. Reader responses on the Internet’s early email forums, or the contemporary iterations of browser-hosted groups such as Yahoo Groups or Google Groups, alongside book talk found on platforms such as Twitter, Facebook, and YouTube, present data that can be analyzed through established or newly developed digital methods. Reviews and commentary on these platforms, in addition to the thousands of book blogs, Goodreads.com, LibraryThing.com, and readers’ reviews on bookseller websites illustrate cultural, economic, and social aspects of reading in ways that previously were often elusive to reading researchers. Contemporary reading scholars bring to the analytical mix perspectives that enrich last century’s theories of unidentified readers. The methods illustrate the fertility available to contemporary investigations of readers and their books. Considered together, they allow scholars to contemplate the complexities of reading in the past, highlight the uniqueness of reading in the present, and provide material to help project into the future.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.612
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.050
GPT teacher head0.371
Teacher spread0.320 · 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