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Record W7024342490

Review of <i>The Piikani Blackfeet: A Culture Under Siege</i> By John C. Jackson

2001· article· en· W7024342490 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsTribeIdentity (music)Cultural identitySubject (documents)Immigration
DOInot available

Abstract

fetched live from OpenAlex

As a member of the Amskapi Pikuni, or Blackfeet Tribe of Montana, I did not begin serious study of my tribe until 1983, when I returned home. Harvard educated and knowledgeable of the world, I turned my early ventures in learning about the tribe after years of separation into a rewarding obsession. Beginning with John Ewers's The Blackfeet: Raiders on the Northwestern Plains (1958), I quickly decided to make a serious effort to acquire knowledge of the tribe and within a few years had reviewed most of the standard, and sometimes obscure, texts and identified redundant pieces. Subsequent study became more focused, with emphasis on the oral tradition and our relative tribes in Canada. I became a scholar of my tribal language until it became my primary endeavor. One of the common questions one often hears asked is the correct usage of the term Blackfeet versus Blackfoot. Another concerns the correct names of the affiliated tribes of the Blackfoot Confederacy. When I began John Jackson's The Piikani Blackfeet: A Culture Under Siege, it was with some trepidation since in the oral tradition Piikani Blackfeet is a marriage of old and new nomenclature not used by members of the tribe. In the tribal language it is simply Piikani (Apatohzi ki Amskapo-North and South), and in English Blackfeet. Blackfoot refers to the tribal confederacy in general. Blackfeet is exclusively used for the tribe in Montana. After sorting out the title, and being satisfied despite its combining form, I read on. I could have used Jackson's book when I started. Loaded with history, it gives attention to the language as well (a feature sadly lacking in most texts), and-despite an occasional editorial-sounding observation-offers a valid analysis. Students of the tribe will gain much from reading it. In fact, members of the Blackfeet tribe, long denied access to information about themselves, would do well to use it as a starting point from which to alleviate the dearth of knowledge among the younger generations of their heritage.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.007
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueLincoln (University of Nebraska)Same topicIndigenous Health, Education, and RightsFrench-language works237,207