MétaCan
Menu
Back to cohort
Record W3083145232 · doi:10.21900/j.median.v14i1.57

Alternative Beginnings

2018· article· en· W3083145232 on OpenAlexaff
G Sepúlveda, Matilda Azlisadeh

Bibliographic record

VenueMedia-N · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIndigenousEmbodied cognitionContext (archaeology)SociologyConflationAestheticsHistoryMedia studiesVisual artsEpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

In this paper, we discuss three alternative approaches to the dominant histories of techniques of illusion and interaction that emerged in the context of the panel “Alternative Beginnings: Towards an-Other history of immersive arts and technologies” sponsored by the New Media Caucus presented at the 2018 College Art Association Conference. Bringing together recent insights by media archaeologists (Huhtamo and Parikka 2011, Parikka 2012), decolonial thinkers (Mignolo 2011a, b), feminist and indigenous media scholars (Zylinska 2014, Todd 1996, Todd 2015) we invited papers that gave visibility to diverse genealogies of immersion, outside the dominant western art historical canon, to contextualize our current interest for embodied and multi-sensorial experiences. Focusing on the Latin American context – both geographically and epistemologically— the three critical approaches proposed include a discussion on the decolonizing potential of immersion as it moves away from a purely ocular regime towards an embodied one, an exploration of strategies that delink the development of immersive technologies from the military and for-profit game industry, and an emphasis on how localized sites can highlight the decolonizing potential of the local/global relationship in our possible rethinking of immersive technologies.

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 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 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 score0.965
Threshold uncertainty score0.932

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.319
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueMedia-NSame topicDigital Games and MediaFrench-language works237,207