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Record W4387482751 · doi:10.1515/9780887555084-002

Acknowledgements

2016· book-chapter· en· W4387482751 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Manitoba Press eBooks · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMormonism, Religion, and History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

It is rare that while digging in the archives you find an unpublished manuscript that is both candid in its genuine portrayal of a set of events, and historically tempered with sympathy, honesty, and a desire to stimulate political action.Fannie Kahan's abandoned manuscript is such a gem.Buried in her brother's files on peyote, mescaline, and the Native American Church, this manuscript was originally intended for readers in the 1960s.Owing to the support of her daughter, Barbara Kahan, and niece, Miriam Hoffer, I gained access to this original manuscript and began piecing together its bibliographic past alongside the history of the Native American Church in Canada.Fannie did not leave behind a trail of her own acknowledgments, but we can safely surmise that she would have thanked her collaborators: her brother, Abram Hoffer, and his colleagues Humphry Osmond, Duncan Blewett, and Teodoro Weckowicz, whose work and contributions are described in detail in the introduction.Fannie's commitment to social justice, and in particular, her concern for people considered marginalized and suffering from mental health challenges, addictions, or other illness, would have undoubtedly been included in her acknowledgments alongside, perhaps, an appreciation for how some of those features have been understood or reconciled within an Indigenous context.Devoted to her family, Fannie would have thanked her husband Irwin Kahan, who was a trusted sounding board for all of Fannie's writing projects, and children Barbara, Meldon, and Sharon (ages 12, 10, and 3 respectively in 1963), who often kept Fannie company while she wrote.The Saskatchewan Archives Board, Saskatoon Branch, has been extremely helpful in locating materials related to this project: thanks especially to Nadine Charabin, Bonnie Dahl, and Christine Charmboury.The Saskatoon Star-Phoenix provided permissions to use their extensive photograph collection, some of which you see in this book.

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)0.008
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.380
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.048
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0050.003
Open science0.0030.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.3800.287

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 head0.043
GPT teacher head0.180
Teacher spread0.137 · 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.

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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