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Lis and land tenure: An examination of fuzzy theory as a means of assessing aboriginal land rights

2000· article· en· W3189274454 on OpenAlexaffabout
Andrew Hunter, Brian Ballantyne

Bibliographic record

VenueAustralian Surveyor · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEasementLawStatuteTreatyRatificationContext (archaeology)Customary landLegislationAbandonment (legal)Land tenureGeographyPolitical scienceArchaeologyPoliticsAgriculture

Abstract

fetched live from OpenAlex

In the wake of the Mabo decision from Australia and the Delgamuukw decision from Canada, it is clear that Aboriginal Title to land can only be lost through cession by treaty, abandonment, conquest, or legitimate legislation of the Crown. What is less clear is the effect that legitimate Crown Grants and Certificates of Title (accompanied by parcel boundary surveys) have on claims to aboriginal servitudes. Such servitudes represent non-territorial aboriginal title, and are akin to easements in statute law. Some of the tension over title to, and use of land can be defused by using fuzzy theory to define zones of overlapping rights in land. Such a methodology is similar to the continuing use of general boundaries in which a feature (sometimes ambulatory) defines the spatial extent of a parcel, allows sites of spiritual significance (sometimes used only seasonally) to be defined, and has application to New Zealand and Australia. Waahi Tapu could be thus defined (if not demarcated), thus according with the principle of the silent files used by the Ngai Tahu in Canterbury. Gustafsen Lake, British Columbia, Canada is used as a case study. The context is that the Shuswap peoples have never ceded their land by way of treaty to the Crown. The tragedy is that when Percy Rossette and a score of his friends used the land for a Sundance ceremony during the summer of 1995, the police blew up their truck, shot and wounded a woman, and killed a dog. The explanation can be traced to an 1892 Crown Grant, to the present use of the site for ranching, to the natives fencing an area larger than the Sundance site, to persistent opposition by most Shuswap peoples to ceding their land, to a treaty claims process intent on extinguishing aboriginal title, to a brilliant if quixotic lawyer, and to politicians keen to uphold the rule of law.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.713

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.269
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2000
Admission routes2
Has abstractyes

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