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Record W4362635975 · doi:10.32920/22564480.v1

Systemic and Systematic Implications of Erasure

2023· preprint· en· W4362635975 on OpenAlexaffabout
Dawn-Estelle I. Miskokomon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsToronto Metropolitan UniversityEducation and Early Childhood DevelopmentWestern University
Fundersnot available
KeywordsWelfareChild protectionPolitical scienceColonialismSocial WelfareSociologyLawDecolonizationUnpackingEconomic growthPoliticsEconomics

Abstract

fetched live from OpenAlex

All Peoples around the world, including First Nations Peoples in Canada, have laws and complex social structures that support the fulfillment of life. This paper focuses on colonial laws and the enactment of those laws by unpacking the relationships created between Canada, its child welfare services (broadly stated and specifically focused on the rights and protections of children) and First Nations Peoples, their children and their childhoods. Through the application of decolonization theory and the new sociology of childhood theory, this study exculpates how Anishinaabe-aadziwin miinwaa gikendaasiwin appears, or does not appear, within the policy and practices of Child Welfare services. By examining Canada’s approach to early childhood assessment, policy and protection service delivery in this way, it will reveal that Canadian laws do not serve First Nations children in the same way that First Nations laws do. Canada’s laws are fundamentally and ontologically inconsistent with First Nation’s, rendering it necessary for the reconceptualization of early childhood studies and implementation practices of its current child protection services.

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)0.022
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.198
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0080.054
Scholarly communication0.0080.006
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.042
GPT teacher head0.346
Teacher spread0.304 · 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 designTheoretical or conceptual
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
Published2023
Admission routes2
Has abstractyes

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