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Record W4236691309 · doi:10.1515/9780804779074

Uncommon Schools

2011· book· en· W4236691309 on OpenAlexaboutno aff
Wade M. Cole

Bibliographic record

VenueStanford University Press eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychology

Abstract

fetched live from OpenAlex

Postsecondary institutions for indigenous peoples emerged in the late 1960s, just as other special purpose colleges based on gender or race began to close. What accounts for the emergence of these distinctive institutions? Though indigenous students are among the least populous, the poorest, and the most educationally disadvantaged in the world, they differ from most other racial, ethnic, cultural, and linguistic minorities by virtue of their exceptional claims to sovereignty under international and domestic law. Uncommon Schools explores the emergence of postsecondary institutions for indigenous peoples worldwide, with a focus on developments in the United States, Canada, Australia, and New Zealand. Providing the opportunity to examine larger social, political, and legal processes, it traces the incorporation of indigenous peoples into nation-states, the rise of a global indigenous rights movement, and the "massification" of postsecondary education while investigating the variety of ways these culturally relevant colleges differ from each other and from other postsecondary institutions.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.719
Threshold uncertainty score0.845

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.056
GPT teacher head0.262
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2011
Admission routes1
Has abstractyes

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