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Record W7013061605

Dakota 38

2012· article· en· W7013061605 on OpenAlexaboutno aff

Bibliographic record

VenueUST Research Online (University of St. Thomas - Minnesota) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaLiquationGestational periodDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Film Screening and Discussion with Jim Miller and Alberta Iron Cloud\nThe film “Dakota 38” was shown and followed by a discussion led by Jim Miller and Alberta Iron Cloud of the Pine Ridge Indian Reservation about the Dakota history and spirituality introduced in the film. In 2005 Miller had a dream about riding on horseback across the great plains of South Dakota. Prior to waking, he found himself at a riverbank in Minnesota and saw 38 of his Dakota ancestors hanged. At the time, he knew nothing of the largest mass execution in United States history in 1862. Four years later, after embracing the message of the dream, Miller and a group of riders retraced the 330-mile route of his dream on horseback from Lower Brule, South Dakota, to Mankato, Minnesota, to arrive at the site of the hanging on the anniversary of the execution. “Dakota 38,” which documents their journey, is a story of hope and healing as they confront the painful history it represents and the plight of their communities today.\nSponsored by the Jay Phillips Center and the UST department of justice and peace studies in collaboration with the Healing Minnesota Stories initiative promoted by the St. Paul Interfaith Network To make an accessibility request, call Disability Resources at (651) 962-6315

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.085
GPT teacher head0.382
Teacher spread0.296 · 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
Published2012
Admission routes1
Has abstractyes

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