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Record W7052726916

Stories Indigenous inner-city youth tell about school

2021· dissertation· en· W7052726916 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typedissertation
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPrideStorytellingScholarshipGraduation (instrument)PovertyNeighbourhood (mathematics)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

This research explores the stories that young adults who are part of the Indigenous community in Winnipeg’s inner city tell about their lives during the years they were in school. Much has been written about the alarming and long-standing discrepancy between Indigenous and non-Indigenous graduation rates. Likewise, the negative effect of living with poverty on educational success is clear. This research speaks to the existing data by presenting detailed stories of what it means to be an inner-city Indigenous student. The question that guided this research was: What do the stories told by Indigenous inner-city youth about school reveal about their experience there? In pursuing this question special attention was paid to the potential differences between how participants saw themselves in comparison to how they felt their schools saw them. This research was guided by a storytelling methodology which was derived from scholarship in Peace and Conflict Studies, Indigenous Studies, Educational Sociology, and Critical Pedagogy. Data was gathered through a series of in-depth group storytelling circles and individual interviews with each of the eight participants in the research. Findings reveal that while in school, participants navigated three terrains of experience. One was with the system of state institutions that dominate life in the inner city, creating a sense of surveillance and threat. Another terrain was life at home, with families and friends, and in neighbourhood organizations troubled by endemic material and psychological challenges but also characterized by culture, connection, and pride of place. In between these terrains, participants experienced school as a space in between — connected by policy and practice to the system and by vital but rare caring individuals and cultural practices to their family, cultural, and neighbourhood life.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.191
Teacher spread0.176 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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