MétaCan
Menu
Back to cohort
Record W2474557882

Living On The Land: Exploring Inuit TranslocationA Visual Autoethnographic Experiment in Animated Database-Documentary

2016· dissertation· en· W2474557882 on OpenAlexaboutno aff
Belinda Oldford

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingAutoethnographyAnimationNarrativeVisual artsIndexicalityContext (archaeology)Theme (computing)SensibilityArtMovie theaterSociologyHistoryLiteratureComputer scienceArchaeologyAnthropologyWorld Wide WebLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Abstract This research-creation project features auteur animation in an interactive, non- linear database idiom exploring the theme of Inuit translocation in order to expand the genre of animated documentary. Premised on the engaging aesthetic sensibility of auteur animation, and the open-ended narrative possibilities of the authoring software, Korsakow, this experimental hybrid media work is presented as a viable alternative to the discourse of the indexical image in documentary filmmaking. The creative research & development process associated with auteur animation is implemented as visual autoethnography in a non-linear database documentary entitled, Living on the Land. Witnessed through the subjective, conscious experience of a citizen- researcher, past memories and current observations are invoked as narrative strands that intimate an underlying context of colonial legacy and reflect on limitations within our social imaginary that impact rural Inuit who migrate to southern urban centers, particularly, Montreal.

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)0.005
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.529
GPT teacher head0.596
Teacher spread0.067 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicParticipatory Visual Research MethodsFrench-language works237,207