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Record W2795150781 · doi:10.1017/s0269889718000030

Taking Spectacle Seriously: Wildlife Film and the Legacy of Natural History Display

2018· article· en· W2795150781 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

VenueScience in Context · 2018
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsYork University
Fundersnot available
KeywordsSpectacleEntertainmentWildlifeNatural (archaeology)ArtAestheticsVisual artsAdvertisingPolitical scienceHistoryLawArchaeologyEcologyBusiness

Abstract

fetched live from OpenAlex

Argument I argue through an analysis of spectacle that the relationship between wildlife documentary films' entertainment and educational mandates is complex and co-constitutive. Accuracy-based criticism of wildlife films reveals assumptions of a deficit model of science communication and positions spectacle as an external commercial pressure influencing the genre. Using the Planet Earth (2006) series as a case study, I describe spectacle's prominence within the recent blue-chip renaissance in wildlife film, resulting from technological innovations and twenty-first-century consumer and broadcast market contexts. I connect spectacle in contemporary wildlife films to its relevant precursors within natural history, situating spectacle as a central feature of natural history display designed to inspire awe and wonder in audiences. I show that contemporary documentary spectacle is best understood as an opportunity for affective knowing rather than a constraint on accuracy; as a result, spectacle contributes to the virtuous inter-reinforcement of entertainment and education at work in blue-chip wildlife films.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
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 head0.030
GPT teacher head0.313
Teacher spread0.283 · 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