Bibliographic record
Abstract
My name is Henry George Pennier and if you want to be a friend of mine please you will call me Hank.'So begins 'Call Me Hank,' the autobiography of Hank Pennier : logger, storyteller, and selfdescribed 'half breed.'In this work, Pennier offers thoughtful reflections on growing up as a non-status Aboriginal person on or near a Stó:lõ reserve, searching for work of all kinds during hard times as a young man, and working as a logger through the depression of the 1930s up to his retirement.Known only to a small local audience when it was first published in 1972, this expanded edition of Pennier's autobiography provides poignant political commentary on issues of race, labour, and life through the eyes of a retired West Coast Native logger.'Call Me Hank' is an engaging and often humorous read that makes an important contribution to a host of contemporary discourses in Canada, including discussions about the nature and value of Aboriginal identity.To Hank's original manuscript, Keith Carlson and Kristina Fagan have added a scholarly introduction situating Hank's writing within historical, literary, and cultural contexts, exploring his ideas and writing style, and offering further information about his life.A map of place names mentioned by Hank, a diagram of a steam logging operation, a glossary of logging terms, and sixteen photographs provide practical and historical complements to Pennier's original lively personal narrative.Pennier's book preceded the proliferation of Aboriginal writing that began with the publication of Maria Campbell's Halfbreed in 1973 and provides a markedly different view of Aboriginal life from other writings of the period.It also documents important aspects of Aboriginal participation in the wage-labour economy that have been overlooked by historians, and offers a unique reflection on masculinity, government policy, and industrialization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.902 | 0.775 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".