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Record W1987101657 · doi:10.1177/0952695109345401

Given time: biology, nature and photographic vision

2009· article· en· W1987101657 on OpenAlexaff
Steve Garlick

Bibliographic record

VenueHistory of the Human Sciences · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPhotographyTemporalityTechnoscienceNatural (archaeology)DisciplineRelation (database)Visual cultureEpistemologyAestheticsSociologyArtHistoryVisual artsPhilosophySocial scienceComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The invention of photography in the early 19th century changed the way that we see the world, and has played an important role in the development of western science. Notably, photographic vision is implicated in the definition of a new temporal relation to the natural world at the same time as modern biological science emerges as a disciplinary formation. It is this coincidence in birth that is central to this study. I suggest that by examining the relationship of early photography to nature, we can gain some insight into the technological and epistemological underpinnings of biological vision. To this end, this article is primarily concerned with the role of photographic technology in the genealogy of biological vision. I argue that photography has always been ambiguously located between art and science, between nature and culture, and between life and death. Hence, while it may be a technological expression of the scientific desire to know and to control nature, photographic vision has continually disrupted and frustrated the ambitions of biological technoscience. The technovision of early biological science illustrates that the elusive temporality of nature has always been central to the production of knowledge of life.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.252
Teacher spread0.223 · 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 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

Citations6
Published2009
Admission routes1
Has abstractyes

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