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Record W7033400278

“Recovering a Trashed Communicative Genre: Letters as Memory, Art, and Collectible,” in Residual Media

2007· article· en· W7033400278 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly and Creative Works from DePauw University (DePauw University) · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNoncommutative and Quantum Gravity Theories
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)Cultural studiesEnergy (signal processing)PianoResidual
DOInot available

Abstract

fetched live from OpenAlex

"In a society that breathlessly awaits "the new" in every medium, what happens to last year's new? Ample critical energy has gone into the study of new media, genres, and communities. But what becomes of discarded media? In what manner do the products of technological change reappear as environmental problems, as "the new" in another part of the world, as collectibles, as memories, and as art? Residual Media grapples with these questions and more in a wide-ranging and eclectic collection of essays. Beginning with how cultural change bumps along unevenly, dragging the familiar into novel contexts, the contributors examine how leftover artifacts can be rediscovered occupying space in storage sheds, traveling the globe, converting to alternative uses, and accumulating in landfills. By exploring reconfigured, renewed, recycled, neglected, abandoned, and trashed media, the essays here combine theoretical challenges to media history with ideas, technology, and uses that have been left behind. From player pianos to vinyl records, and from the typewriter to the telephone, Residual Media is an innovative approach to the aging of culture and reveals that, ultimately, new cultural phenomena rely on encounters with the old.\nContributors: Jennifer Adams, DePauw U; Jody Berland, York U; Sue Currell, U of Sussex; Maria DiCenzo, Wilfrid Laurier U; Kate Egan, U of Wales; Lisa Gitelman, Catholic U; Allison Griffiths, CUNY; James Hamilton, U of Georgia; James Hay, U of Illinois--Champaign-Urbana; Michelle Henning, U of the West of England; Lisa Parks, UC Santa Barbara; Hillegonda C. Rietveld, South Bank U; Leila Ryan, McMaster U; John Seibert-Davis, Alfred U; Collette Snowden, U of South Australia; Jonathan Sterne, McGill U; JoAnne Stober, National Archives, Canada; Will Straw, McGill U; Haidee Wasson, Concordia U. Charles R. Acland is associate professor and holds the Concordia University Research Chair in communications studies at Concordia University, Montreal."

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.029
Scholarly communication0.0160.012
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.207
Teacher spread0.199 · 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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

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