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Record W7094479860

Review of <i>Outside Looking In: Viewing First Nations Peoples in Canadian Dramatic Television Series</i> by Mary Jane Miller

2010· article· W7094479860 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2010
Typearticle
Language
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMillerIdentity (music)Television seriesPoint (geometry)Cultural identity
DOInot available

Abstract

fetched live from OpenAlex

Mary Jane Miller sets out to answer the question "What are the stories that we tell and show to ourselves about Aboriginal peoples?" The strength of her book lies in its breadthin particular, the timeframe she chose, spanning the past fifty years, for investigating the portrayal of Aboriginal peoples on Canadian television. As a result, she provides a comprehensive overview of dramatic children and adult series, from Radisson to Forest Rangers and The Beachcombers, describing characters, themes, and topics in great detail. Her key point is that these series have mostly been produced from the "outside looking in." In other words, stories have been told from the dominant culture's point of view and, consequently, too often through a lens of stereotypes and prejudice. In recent years, however, with dramatic series such as The Rez and North of 60, many important themes-from culture clashes to questions of identity and cultural appropriation- have found their way into dramatic story lines. This is partly due to Aboriginal cultural advisers working together with writers of television drama, but also as a result of a slow, gradual shift toward increasing awareness and self-reflexivity in the 1990s and early 2000s.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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