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Record W2902897671 · doi:10.1386/host.9.2.151_2

The vast and omnivorous cloud

2018· article· en· W2902897671 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

VenueHorror Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsCloud computingObject (grammar)Space (punctuation)Computer scienceThe InternetMediationInternet privacySociologyAestheticsWorld Wide WebArtArtificial intelligenceSocial science

Abstract

fetched live from OpenAlex

Abstract Although it seems to promise an immaterial, unmediated, almost supernatural collapse of space at the user’s convenience, the cloud is not a solely spectral space. This introduction examines the cloud as a material object, a network of physical networks. It argues that inherent in the cloud’s nature as an internetwork is an excess, an overwhelming capacity to connect, reorganize and integrate. The physical nature and user experience of the Internet presents an uncontrolled, networked mediation of our personal lives, our history, our physical media and our orientation to the increasingly digital world. Examining popular digital horror, such as Slender Man, The Dionaea House (2006) and Kris Straub’s Ichor Falls (2009), alongside the articles collected in this special issue, this introduction argues that digital horror anxiously rehearses the cloud’s voracious capacity to incorporate that which should be left alone.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.357
Teacher spread0.324 · 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