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Record W6989224312

"Almost islands": A research synthesis of Aboriginal communities in Canada as metaphorical islands

2013· article· en· W6989224312 on OpenAlexaboutno aff

Bibliographic record

VenueIslandScholar (University of Prince Edward Island) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsPacific islandersEthnic groupIndigenousQualitative researchLocationDistribution (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to describe the geographic distribution of Aboriginal people who live in remote, isolated Aboriginal communities in Canada in terms of how geographic settings and features, particularly those that are characteristic of island dwellers, are related to and can impact aspects of culture and identity. Through this process, data was collected using a research synthesis, which allowed for a great deal of data from various sources to be analyzed, extracted, and coded. Based on this qualitative study, numerous geographic characteristics similar to those of islanders and islands emerged. Physically, islands and Aboriginal communities represent bounded, finite spaces that are located on the periphery and are impacted by isolation. These unique isolated areas allow for islanders and Aboriginal people to experience ethnic homogeneity and strong attachments to place, both of which allow for the preservation of culture and identity. That being said, islanders and Aboriginal people both experience migration as a way of life, and leaving their places of origin to experience life in larger, more diversely and densely populated areas is necessary for many. As a result of these findings, this study compares isolated Aboriginal communities in Canada and Aboriginal people to various small islands around the world as well as islanders, through various spatial metaphors.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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
Published2013
Admission routes1
Has abstractyes

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