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Record W4387482219 · doi:10.1515/9780887554575

The Clay We Are Made Of

2017· book· en· W4387482219 on OpenAlexaboutno aff
Susan Hill

Bibliographic record

VenueUniversity of Manitoba Press eBooks · 2017
Typebook
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

If one seeks to understand Haudenosaunee (Six Nations) history, one must consider the history of Haudenosaunee land. For countless generations prior to European contact, land and territory informed Haudenosaunee thought and philosophy, and was a primary determinant of Haudenosaunee identity. In The Clay We Are Made Of, Susan M. Hill presents a revolutionary retelling of the history of the Grand River Haudenosaunee from their Creation Story, through European contact, to contemporary land claims negotiations. She incorporates Indigenous theory, Fourth world post-colonialism, and Amerindian autohistory, along with Haudenosaunee languages, oral records, and wampum strings to provide a comprehensive account of the Haudenosaunee relationship to their land. Hill outlines the basic principles and historical knowledge contained within four key epics passed down through Haudenosaunee history. She highlights the political role of women in land negotiations and dispels their misrepresentation in the scholarly canon. She guides the reader through treaty relationships with Dutch, French, and British settler nations—including the Kaswentha/ Two-Row Wampum (the precursor to all future Haudenosaunee-European treaties), the Covenant Chain, the Nanfan Treaty, and the Haldimand Proclamation—and details outstanding land claims. Hill’s study concludes with a discussion of the current problematic relationship between the Grand River Haudenosaunee and the Canadian government, and reflects on the meaning and possibility of reconciliation.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.116
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.010
Scholarly communication0.0100.007
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0560.012

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 head0.048
GPT teacher head0.233
Teacher spread0.186 · 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 designBench or experimental
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

Citations97
Published2017
Admission routes1
Has abstractyes

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