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Record W2081994180 · doi:10.1353/can.0.0118

‘Call Me Hank’: A Stó:lõ Man’s Reflections on Logging, Living, and Growing Old (review)

2008· article· en· W2081994180 on OpenAlexvenueaboutno aff
Andrew Parnaby

Bibliographic record

VenueCanadian Historical Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryWhite (mutation)George (robot)Art historyGenealogyBiology

Abstract

fetched live from OpenAlex

Reviewed by: ‘Call Me Hank’: A Stó:lõ Man’s Reflections on Logging, Living, and Growing Old Andrew Parnaby ‘Call Me Hank’: A Stó:lõ Man’s Reflections on Logging, Living, and Growing Old. Henry Pennier. Edited by Keith Thor CarlsonKristina Fagan. Toronto: University of Toronto Press, 2006. Pp. 144, $63.00 cloth, $26.95 paper Near the end of his autobiography, Henry ‘Hank’ Pennier addresses an issue directly, which, until that point in the book, he had touched on only sporadically. ‘What’s it like being a half breed?’ he asks. ‘It hasn’t been easy,’ is his reply. Hank was born in 1904; both his father, George Pennier Junior, who died just months before Hank was born, and his mother, Alice Davis, were of mixed European and Stó:lõ ancestry. The youngest of eight children, Hank lived most of his life in British Columbia’s central Fraser Valley where he was raised by Stó:lõ people in a largely Stó:lõ environment. Despite this family history–his mother’s second husband was a Stó:lõ chief named August Billy–he was considered a ‘non-Native’ by the Canadian government. And therein, as this slim readable volume suggests, lies one of the defining features of this man’s life. ‘And all of us [in my family] are half breeds,’ Hank observes in the book’s preface. ‘Not white men and not Indian yet we look Indian and everybody but Indians takes us for Indian. It has been a complicated world and in some ways it still is I guess. And the damn government hasn’t helped any’ (4). Written in a punchy, anecdotal style, Hank’s autobiography explores the personal, social, and political complexities of being a ‘half-breed,’ an elastic racial categorization that brought with it dramatically different rights, opportunities, limitations, and dangers, depending on the context. ‘As we were half breeds and we could not live on the reservation, we were supposed to be white and we came under the white man’s status,’ Hank remarks in a subversively funny anecdote about going to residential school. ‘But the priests were very kind and they made an exception in our case’ (9–10). Equally influential in Hank’s life was the time he spent working as a logger–a job he started at seventeen years of age and left when he was fifty-five, after accumulated work-related injuries forced him to hang up his caulk boots. ‘You name it and I done it,’ Hank concludes in his chapter ‘I Remember My 1940s and 1950s Days.’ ‘And as I think about it now if I was the same age again and you gave me a choice of what I wanted to work at the rest of my life I think I would still want to be a logger’ (58). During his labouring life, Hank supplemented the modest income he derived from logging by hunting, fishing, and working in the hops and strawberry fields of the Pacific Northwest. Thus, across five chapters, stories about ‘hoboes,’ ‘highballers,’ ‘old Swedes,’ [End Page 609] ‘Mexican strawberry pickers,’ and ‘hunch backed cocky little whistle punks’ share space with tales about ‘tough braves’ and ‘Indian trappers’–a juxtaposition that effectively brings labour history and Aboriginal history together. For Hank, the link between being a logger and being half-breed was a deeply personal one, for the status, identity, independence, and sense of masculine accomplishment derived from being in the woods helped him neutralize the negative implications of being too Indian for some and not Indian enough for others. ‘Way back in the bush among the big trees doing a man’s work, I wasn’t a half breed, I was just good old Hank,’ the author writes. ‘Outside of my work I could not join white society, socially’ (86–7). Originally published as Chiefly Indian: The Warm and Witty Story of a British Columbia Half Breed Logger, the new edition is generously supported by archival and personal photographs, a glossary of logging terms, and a map; a cogent introduction, written by Keith Thor Carlson and Kristina Fagan, effectively contextualizes the book. Reflective, humane, and funny in equal measure, ‘Call Me Hank’ could easily be...

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.054
GPT teacher head0.292
Teacher spread0.238 · 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
Published2008
Admission routes2
Has abstractyes

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