MétaCan
Menu
Back to cohort
Record W7094721700

Review by <i>Aboriginal Peoples in Canadian Cities: Transformations and Continuities</i> edited by Heather A. Howard and Craig Proulx

2013· article· W7094721700 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2013
Typearticle
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Position (finance)Urban planningUrban culture
DOInot available

Abstract

fetched live from OpenAlex

In some respects, this comprehensive anthology represents the cutting edge in a growing field of study related to urban Aboriginal communities in Canada. With a focus ranging from Toronto to Vancouver, the book contains fascinating new studies, including the experiences of Aboriginal employees at Ontario's Casino Rama, the rebuilding of Papaschase First Nation in Edmonton, and how Plains culture has been adopted as a form of healing in Vancouver. While the authors acknowledge the absence of voices addressing the Atlantic provinces and Quebec, this is offset by the strength of offerings from the Prairies, which include a textual analysis of media racism, a focus on Aboriginal youth gangs, and an exploration of hip-hop culture. Notably, in a context in which Inuit communities are often ignored, the book includes a study of Inuit communities in Ottawa.\nWhile the introduction covers a range of issues relating to urban Aboriginality, this book is refreshing in its view of urban Aboriginal communities as normative, rather than exceptions to a reserve norm. Indeed, the opening essay by David Newhouse, "Urban Life: Reflections of a Middle-Class Indian," offers an unapologetic choice to be urban and highlights what cities have to offer urban Aboriginal people, particularly those who are culturally sure of their identities and economically in a position to enjoy the benefits of urban 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.258
Teacher spread0.251 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInsecta mundiSame topicIndigenous Health, Education, and RightsFrench-language works237,207