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Record W4404637138 · doi:10.7358/rela-2024-01-dama

Profitization: Ignoring the Ones Who Came First

2024· article· en· W4404637138 on OpenAlexaffabout
Alyssa D'Ambrosio

Bibliographic record

VenueRelations Beyond Anthropocentrism · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousEnvironmental ethicsPersonhoodCommodificationAnthropocentrismSociologySafeguardingPolitical scienceLawEcologyEconomyEconomics

Abstract

fetched live from OpenAlex

This essay critiques the Western colonial ideology of exploiting natural resources for profit and its detrimental impact on ecosystems and Indigenous communities. It advocates for recognizing the rights of non-human entities, exemplified by the Magpie River in Quebec, which was granted legal personhood. I contrast the Western profit-driven worldview with Indigenous ontologies, which emphasize the intrinsic value of nature and its interconnectedness with human and otherthan-human entities. The paper explores how Indigenous perspectives challenge the commodification of land and water, advocating for a more harmonious and sustainable coexistence. I draw on the concept of “Pluriverse Worlding”, which recognizes multiple ways of understanding the world and rejects the Western “One-World World” mentality that imposes anthropocentric dominance. By adopting Indigenous ontologies, the paper argues, we can protect ecosystems and counter the profit-driven mindset. The paper also critiques the Western legal system’s failure to adequately protect the environment, emphasizing the need to incorporate Indigenous worldviews into environmental protection laws. This shift requires embracing Indigenous knowledge systems, fostering dialogue between Indigenous and Western perspectives. Through legal, philosophical, and practical strategies, the paper emphasizes the importance of safeguarding ecosystems and other-than-human entities for the benefit of the planet and humanity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.004

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 head0.008
GPT teacher head0.232
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2024
Admission routes2
Has abstractyes

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