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Technology

2021· reference-entry· en· W4244516791 on OpenAlexaff
Eleonora Lima

Bibliographic record

VenueOxford Research Encyclopedia of Literature · 2021
Typereference-entry
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsTrinity College
Fundersnot available
KeywordsAestheticsIngenuityEpistemologySociologyLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

Abstract The history of literature has always been influenced by technological progress, as a transformative cultural power—threatening destruction or promising a luminous future—as a theme inspiring new narrative forms and plots, or as a force influencing the way authors conceive textuality and perform their creative work. The entanglement between literary and technological inventions is even recorded in the etymology of the word, which comes from the Greek “techne,” a term referring to arts as well as crafts. The way writers conceive this relationship, however, varies greatly: although some consider the work of technicians to be congenial to artistic creation, as they both demonstrate human creativity and ingenuity, others believe technology to be a dehumanizing and unnatural force, not only alien to literature but in competition with its own ethos. Therefore, depending on their position, the writer comes to embody the mythical figure of Prometheus, the first technician and defiant creator, or that of Orpheus, symbolizing the marriage between poetry and nature compared to any artificial creation. However, the opposition between nature and technology, with literature positioning itself either in one realm or the other, is only one of many possible critical perspectives. Indeed, when moving beyond the idea of technology as merely a kind of artifact, the affinities between texts and machines clearly emerge. A mutual relation connects technology and textuality, and this has to do with the complex nature of material and cultural objects, each shaped by social use, aesthetic norms, and power structures. This bond between discursivity and materiality is impossible to disentangle, as is the contextual relationship between literature and technology: Texts prescribe meanings to machines just as much as the latter shape their textuality. To recognize literature and technology as two different systems of meanings and sets of practices which are nevertheless always in conversation with each other is also to understand literature as technology. This stance has nothing to do with the likeness of the poet and the technician as creative minds but rather with the idea of literary texts functioning like technologies and, ultimately, offering a meta-reflexive analysis of their own textuality. According to this critical perspective, literature performatively enacts the changes in textuality brought about by technological progress, from the printing press to digital writing tools.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.325
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0080.006
Open science0.0020.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3250.240

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 head0.079
GPT teacher head0.437
Teacher spread0.358 · 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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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