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Record W1985117202 · doi:10.5558/tfc83362-3

We are all connected: Globalization and community sustainability in the boreal forest, an Aboriginal perspective

2007· article· en· W1985117202 on OpenAlexvenueno aff
Garry Merkel

Bibliographic record

VenueThe Forestry Chronicle · 2007
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationSustainabilityContext (archaeology)General partnershipWork (physics)Corporate governanceEconomic growthPolitical sciencePublic relationsBusinessSociologyGeographyEcologyEconomicsEngineeringLaw

Abstract

fetched live from OpenAlex

This paper summarizes my personal perspective on the impacts of globalization on the sustainability of aboriginal communities. Globalization affects communities through changes to the land and the plants and animals it supports, the demographic profiles of the people increasingly through migration, their lifestyles, the persistence of their language and philosophy to living on the land, and their values. At the same time the people are learning to develop businesses, improve community services, and protect their interests through international recognition of their rights. Success in dealing with globalization will depend on the ability of the communities to develop a) appropriate systems of governance, b) mechanisms to accommodate their traditions in the context of contemporary culture, c) networks from the local to international levels, and most importantly d) their own capacities so that they no longer rely on the external "expert/consultant." The forest sector has a role to play in this process by developing a true partnership with the communities on whose land they hope to operate. This includes getting to know the people and their values, treating their knowledge with respect, and assisting them to develop their own capacities. Acting on the fact that we are all connected means that these partnerships will work to our mutual benefit. The distance we have to travel to make these changes may be as little as 6. Key words: Aboriginal communities, Globalization impacts, Forest sector, Working relationships

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.403
Teacher spread0.372 · 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 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

Citations12
Published2007
Admission routes1
Has abstractyes

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