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Record W4408516155 · doi:10.29173/jaed526

Land Management on First Nations Reserves: Lawful Possession and Its Determinants

2013· article· en· W4408516155 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Aboriginal Economic Development · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersAboriginal Affairs and Northern Development CanadaSimon Fraser UniversityCanadian Institute for Advanced Research
KeywordsPossession (linguistics)BusinessNatural resource economicsEnvironmental resource managementEnvironmental planningGeographyEconomics

Abstract

fetched live from OpenAlex

Much debate concerning property rights on reserves in Canada focuses on socio-economic impacts and the potential for individualized land tenure to support economic development, thereby reducing poverty. Study of existing forms of individual property on reserves is needed to inform these debates. In this article, we examine data on the lawful possession (Certificate of Possession) system that is currently used on reserves across Canada. We provide descriptive statistics regarding the variability of lawful possessions across First Nations and using regression analysis we assess which socio-economic, demographic, and locational variables influence the use of lawful possessions instead of communal land or other customary land holding systems. We show that use of the lawful possession system is surprisingly low and very uneven. As well, our regression results suggests that using the system requires a relatively educated community with low levels of poverty, with a favourable geographic location. Overall, the results are consistent with the view that lawful possessions are not primarily used to foster economic development.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.359
Teacher spread0.335 · 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