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Record W7133031424

Walking Toronto's Red Road: The Story Pathways of Indigenous Social Workers

2019· dissertation· W7133031424 on OpenAlexaffabout
Nicole Penak

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsCanadian Association for the Study of Adult Education
Fundersnot available
KeywordsTricksterIndigenousOppressionJungleWickednessPower (physics)NarrativeDystopia
DOInot available

Abstract

fetched live from OpenAlex

Abstract: A Long Story Short "The truth about stories is that’s all we are. ‘You can’t understand the world without telling a story,’ the Anishinaabe writer Gerald Vizenor tells us. ‘There isn’t any centre to the world but a story’" (King, 2003, p. 32). Tap. Tap. ‘Is this thing on?’ Clears throat. Pushing his way to the top of the paragraph, he continues, ‘I figure I would try to get to you first.’ Snicker. ‘As this is really all about me, anyways,’ Trickster says, fluttering his eyelashes, resting one hand on his chest. ‘I mean, sure, I suppose we are traveling the story pathways of Indigenous social workers in Toronto,’ he muses, lifting his hand to his chin. ‘But social work in North America is a dynamic tale of oppression and resistance,’ he pauses to think. ‘So, the ten (10) short stories shared here, created with the participants of this research journey, really are a collection of Trickster tales,’ he states, regaining all confidence. ‘And these stories, like Trickster tales, carry good lessons in their disorder,' Trickster says, slapping his knee. Cackle. Snort. Phew. After regaining some composure, he looks up off the page and back towards the reader. Tap. Tap. ‘Storytelling and land are interconnected with each other and to this anti-colonial endeavour’ Trickster says, eyebrow raised. ‘Somewhere between the significance of petroglyphs and carving your name into wet cement, these story landmarks will guide us in a journey through the relationship Indigenous social workers have with their profession,’ he says, slinking his way down the page. ‘Guided by an Indigenous research methodology, we take a journey through story, exploring the pathways Indigenous social workers create through their work,’ Trickster says. ‘Story pathways with some unexpected impacts and destinations, for Indigenous peoples, social work, and research itself,’ he smirks. ‘So, come walk along Toronto’s Red Road, aided by the stories of those who have gone before us, guiding and perhaps even cautioning we future travelers.’ Keywords: Indigenous, Aboriginal, Social Work, Stories, Landmarks, Story Pathways, Anti-Colonial, Research Methodology, Trickster, Toronto

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.837

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0440.023
Scholarly communication0.0110.007
Open science0.0030.012
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0130.002

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 head0.029
GPT teacher head0.363
Teacher spread0.334 · 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 designQualitative
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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

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