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Ambient Video, Slow-Motion, and Convergent Domains of Practice

2009· book-chapter· en· W2481160745 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

VenueIGI Global eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsScholarshipContext (archaeology)DisciplineDynamics (music)Set (abstract data type)SociologyWork (physics)Engineering ethicsPolitical scienceComputer scienceSocial sciencePedagogyEngineeringGeography

Abstract

fetched live from OpenAlex

The chapter describes the synergistic integration of distinct research and creation agendas, each firmly grounded in its own set of practices and methodologies. The authors participate in three separate domains of practice: humanities scholarship, scientific research, and artistic creation. They have continued to work within their respective specialties, but have also aligned their research and creation activities within a larger context that enriches their individual work. Humanities scholarship, artistic creation, and scientific research support each other at various critical junctures in the overall arc of the research. The chapter analyzes the details of each individual research or creation strand, and identifies the instances and the dynamics of mutual support and synergy. The mechanisms and attitudes that support the success of cross-disciplinary collaboration are identified and explicated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.766

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)0.0000.000

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 head0.308
Teacher spread0.286 · 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