MétaCan
Menu
Back to cohort

Mobile Media as New Forms of Spatialization

2015· article· en· W2157112353 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInterdisciplinary Science Reviews · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsSimon Fraser University
FundersUniversity of Alberta
KeywordsSpatializationSpace (punctuation)sortComputer scienceHegemonyExpression (computer science)Social mediaPower (physics)Human–computer interactionInterface (matter)MultimediaInternet privacySociologyWorld Wide WebPolitical sciencePolitics

Abstract

fetched live from OpenAlex

The physical space has historically served as an important support for human expression. However, the production of location-based information has been consciously used as means of social control by the hegemonic power, which decides what can be publicly displayed, and what should be hidden. With the development of mobile media, space has gained new dimensions, resulting in a sort of hybrid space where digital information overlays the physical space revealing what was previous unknown about a place. As mobile devices become increasingly present in our society, they should be understood as a social interface to our experience of space, serving not only as means to consume information, but also tools for communication. This paper discuss the current mobile media practices, such as mapping, urban electronic annotations, location-based mobile games, and smart mobs, which creates opportunities for new forms of human expression, reappropriations of space, and contestation of hegemonic power.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.075
GPT teacher head0.410
Teacher spread0.335 · 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