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Digitizing North: A Critical Discussion of Jonathan Harris's<i>The Whale Hunt</i>

2011· article· en· W2031928876 on OpenAlex
Jacqueline Wallace

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

VenueDesign and Culture · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsConcordia University
Fundersnot available
KeywordsNarrativeStorytellingThe ImaginaryIdeologyRepresentation (politics)WhaleColonialismField (mathematics)HistoryHistoricity (philosophy)Digital storytellingSociologyVisual artsMedia studiesLiteratureArtArchaeologyLaw

Abstract

fetched live from OpenAlex

In May 2007, media artist Jonathan Harris spent nine days living with an Inupiat family in Barrow, Alaska, where he documented the ancient tradition of the whale hunt in a series of 3,214 photographs, which he later assembled into an interactive database documentary aptly named The Whale Hunt. As designed object, The Whale Hunt is a technical marvel of Flash-based interactive design par excellence, yet for all its merit as a boundary-pushing mode of digital storytelling, it remains a story of North told by way of the South. This paper queries the concept of “digitizing North” and questions of “story” through a discursive analysis and post-colonial critique of The Whale Hunt as representation of North, where North is understood as a vast and shifting discursive field and a cultural imaginary. By interrogating the three main constitutive texts—the database documentary, artist statement, and digital storytelling interface, the paper critically examines their narrative conventions and representational modes toward identifying what ideological investments are being made and legitimated in discursive formations of North.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.320

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 studies0.0000.000
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 head0.122
GPT teacher head0.364
Teacher spread0.242 · 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