Written as I Remember It: Teachings (ʔəms taʔaw) from the life of a Sliammon elder
Bibliographic record
Abstract
Written as I Remember It: Teachings (?ems ta?aw) from life of a Sliammon elder Elsie Paul, in collaboration with Paige Raibmon and Harmony Johnson Vancouver, British Columbia: UBC Press, 2015, 488 pages ISBN: 978-0-7748-2711-9 (paperback) So That S How Important Roots Were our People (p. 155) The epigraph that Sliammon elder Elsie Paul speaks in her book Written as I Remember It dovetails with First Nations' understanding of lifelong learning journey. Sources and domains of knowledge ground a learner and understood as roots that sustain a learner, represented in stylized graphic of a tree (Canadian Council on Learning, 2007). Paul identifies these sources and domains of knowledge in her teachings. One of book's collaborators, Paige Raibmon, refers these as Paul's of identity (p. 40), and Raibmon, Paul, and Paul's granddaughter, Harmony Johnson, use stories provide a nuanced interpretation of these categories--they roots, nests where knowledge resides, grows, and changes. The categories repurposed as on ideas, values, and intentions (p. 42). Elders pass them on listeners like Raibmon and Johnson with that they live according messages in them. I conceive of stories in Written as I Remember It as sources and domains of knowledge because Raibmon says enduring tradition or culture not necessarily located in physical practices ... or in texts and artifacts (p. 42) where standard education systems teach find knowledge. For me as an educator, book an opportunity analyze what I learn from each of Paul's sources and domains of knowledge and take them with me on my lifelong learning journey because authors want to take in not only content of her [Paul's] words but method and intention (p. 5). Ancestors' teachings help ... get your strength, your power be who you are (p. 68). After Raibmon provides context and locates book in literature on British Columbia history, Indigenous education, and anthropological investigations, Paul proceeds set up sources and domains of knowledge in which her stories nest. Her stories cover self-care, work, respect, land and place, and family. Any gaps readers notice may serve as touchstones further research with Paul and other knowledgeable Sliammon. We see how stories have an impact on spiritual and cultural, social, economic, and political spheres (First Nations Holistic Lifelong Learning Model, 2007) of Paul's life. Paul's motivation for her work her family, as she argues that it's very important pass on my children, my grandchildren ... strong beliefs that my grandparents had, that there a spiritual world ... [and] that what grounds us (p. 389). Paul's lessons shape methods of Indigenous learning that Raibmon asks contemplate as we read. Paul says taught by your Elders how take care of yourself' (pp. 68-69). Elders share with you the true of land that is never talked about (p. 79). In these stories, we see revised histories of contemporary B.C. places from families who lived in them. Powell River, Cape Mudge, Brem River, Theodosia, Okeover Inlet, Grace Harbour, Bella Bella, Bute Inlet, Egmont, and Rivers Inlet communities that come up often in her stories. On land, it's really important just share your history ... how you grew up ... what things were like in my grandmother's time, and stories how things were in my great-grandparents' time (pp. …
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".