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Record W3127745285 · doi:10.5210/fm.v26i2.10978

When the machine hails you, do you turn? Media orientations and the constitution of digital space

2021· article· en· W3127745285 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

VenueFirst Monday · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhenomenology (philosophy)Materiality (auditing)Media cultureNew mediaDigital mediaQueerSociologyAestheticsConstitutionMass mediaMedia studiesEpistemologyPhilosophyComputer scienceLawGender studiesPolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Machines have gone by many names, both in and outside of media theories. They have been called tools, prosthetics, auxiliary organs, and more. This paper explores what happens when we think of media as orientating devices. Sara Ahmed (2006) attends to the way orientations — sexual orientations, but also orientations as ways of being in the world more generally — come to be, and come to be felt on the body. Though Ahmed does not speak of media specifically, her queer phenomenology offers new ways of thinking about media. Media can be thought of as devices that orient, and that turn the body in one direction and away from another. Indeed, a media phenomenology is particularly useful in grounding both the body in media and the media’s felt effects on the body. As scholars increasingly stress, the language used to describe media often obfuscates their materiality, with words like ”virtual“ or even ”Web” concealing the material realities of digital networks. Beyond the materiality of media themselves, however, a phenomenology of media attends to the relationship between media and the bodies that turn to — and are turned — by them.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.220
Teacher spread0.198 · 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