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Record W7002127531

Meeting the Iroquois Mohawk (Indigenous, Native American) Nation – A workshop with Tom PorterConoscere il popolo indigeno nativo americano Iroquois Mohawk Workshop con Tom PorterEinblick in die Kultur desnordamerikanischen indigenen Stammes Iroquois Mohawk Workshop mit Tom Porter

2019· other· en· W7002127531 on OpenAlexaboutno aff

Bibliographic record

VenueView · 2019
Typeother
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMohawkIndigenousMetisSpiritualityNative americanFace (sociological concept)
DOInot available

Abstract

fetched live from OpenAlex

description: Indigenous Peoples across the world count for 370 million of individuals, who live in at least 70 countries and speak around 5,000 languages according to UN and UNESCO estimates. Despite the forced colonization, relocations and discrimination they had to face along centuries (and many continue do so nowadays), they have never gave up standing for their rights, and have regained a voice and a prominent international role starting from the 1970s. Indigenous cultures are extremely rich and have much to teach us, especially with regard to their spirituality and relationship with the(ir) land. This will be the core of the workshop held by Thomas (Tom) R. Porter (or in his Native American language Sakokwenionkwas, “The One Who Wins”) next 22 May in Bolzano-Bozen. Thomas has been the chief and spiritual leader of the Native American Indigenous Mohawk Community, which is located near New York (USA). In 2009, he has been awarded the honorary Doctor of Laws degree by Trent University (USA) for his invaluable contribution as Indigenous cultural educator, Elder and Spiritual Leader. The workshop is tailored for high school pupils in the morning, and university students in the afternoon. After a short introduction by the organizers, pupils and students will be involved in an interactive debate.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0610.016

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

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