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Record W6983335254

Média, obrazy a kultura

2012· dissertation· en· W6983335254 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2012
Typedissertation
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionVisual cultureField (mathematics)Variety (cybernetics)Visual researchCenter (category theory)SimulacrumCultural studiesVisual communicationVisual media
DOInot available

Abstract

fetched live from OpenAlex

1 In my thesis titled Media, Imagery and Culture, I deal with the interconnection of these three separate fields of research. In the framework of visual studies, I search for visual research methods applicable in the cultural field. In the theoretical section, I discuss the conceptions of Canadian philosopher and media theorist Marshall McLuhan who determined three stages of communication development, one of which referenced an electronic culture. I go on to examine the philosophical Noosphere concept of a Catholic priest and scientist Teilhard de Chardin, corresponding with the McLuhan idea of electronic culture and the global village. I also analyze the concepts of art historians Ernst Hans Gombrich and Erwin Panofsky. In the field of visual studies, I follow the visual culture research of Marta Filipová and Matthew Rampley, and I examine communication expert Gillian Dyer's essay on pictures and advertisements. Lastly, I search for visual research methods applied in a variety of fields: anthropology, sociology and art history. The final part consists of four probes in which I apply visual research methods to the culture. In the first probe, I compare three different types of galleries: classic gallery (Czech Center in Prague), alternative exhibition hall (Tacheles) and virtual galleries. The probe was...

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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.

Study designBench or experimental
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

Citations0
Published2012
Admission routes1
Has abstractyes

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