MétaCan
Menu
← Back to cohort
Record W6884650807 · doi:10.11575/prism/39452

The Second-Generation Cut-Off: Effect on Indigenous People in Canada

2021· other· en· W6884650807 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGovernment (linguistics)RacismPopulationColonialismFirst nation

Abstract

fetched live from OpenAlex

This report evaluated policy alternatives that would assist in resolving the registration issue of the second-generation cut-off. After two consecutive generations of parenting with an individual who does not hold status, the third generation cannot be registered to obtain Indian status. The eventual result of the second-generation cut-off will be a decline in the population of individuals holding status under the Act, and thus membership in their First Nations community. The Indian Act is the primary law that Canada used to administer Indian status, First Nations governments, management of reserve land and outline obligations to First Nation peoples. The Act contains colonial laws aimed to eliminate First Nations culture by assimilation into Euro-Canadian society. The 1985 Bill C-31 amendment created the second-generation cut-off, and the subsequent 2011 and 2017 Indian Act amendments do not address the second-generation cut-off because it is not a sex-based inequity. The second-generation cut-off is problematic because of the ongoing role the federal government has in registration and the systemic racism it represents, the impact it has on individuals and communities affected, and the eventual impact on the population of Indigenous people who hold Indian status. This paper evaluates policy alternatives by four criteria: 1) Reconciliation, 2) Timelines, 3) Individual Rights, and 4) Population. The alternatives need to further the process of reconciliation between Canada and Indigenous people. Timeliness is important because if an alternative is too lengthy, it could increase the number of descendants affected by the cut-off. Individual and collective rights need to be balanced in an alternative because the cut-off mainly impacts individuals. Lastly, an alternative should increase the population of Indigenous people. The five policy alternatives suggested in this paper are: 1) One-parent Rule for Status, 2) Treaty-Based Status, 3) Re-launch Section 10 Program, 4) Self-Governance Agreements, 5) Dual Indigenous/Canadian Citizenship. The One Parent Rule for status alternative would involve amendments to the Indian Act to allow direct descendants of individuals with a 6(2) parent to become available for status. Treaty-based status involves creating treaty-based status where individuals would register to become a member of a treaty group. Re-launching the existing section 10 option to make it more appealing for more First Nations to transition to and control their band membership. Creating self-government agreements with First Nations could be a policy alternative to remedy the second-generation cut-off because if First Nations were to govern themselves, they would be in full control of their membership. Dual citizenship would recognize First Nations as distinct states and they would control all aspect of their governance including membership. Based on the alternatives outlined, it is recommended that the Government of Canada work toward the alternative of dual Indigenous-Canadian citizenship. However, this alternative will take many years to implement and is not the best option for the short term. Therefore, a combination of other alternatives is recommended. Combining the shorter-term alternatives will better assist in establishing the framework to bring individuals, First Nations, and the Government of Canada towards the long-term alternative for dual citizenship.

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)0.006
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0160.004
Scholarly communication0.0050.001
Open science0.0030.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.269
Teacher spread0.251 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOpen MIND→French-language works237,207→