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Record W6992485115

Learning Conceptual Diversity through Caribou Co-management

2009· article· en· W6992485115 on OpenAlexaff

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHumilityPopulationDiversity (politics)PerceptionState (computer science)Conceptual frameworkDialecticPoliticsPluralism (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

"The recognition of a diversity of conceptual systems is essential to any exploration of the links between social and ecological systems. This paper focuses on caribou co-management as a possible case study of the evolution of conceptual pluralism in practice. While acknowledging the significance of the political power dynamics between state and community, this discussion examines co-management from a different angle, that of learning and the accommodation of varied ways of knowing. \n \n "The question of how humans learn to learn and specifically how we learn to respect (not necessarily apprehend) other ways of knowing is represented here as an examination of humility - a respect for diverse realities. Humility is central to a needed dialectic or "new mode of conversation" (Bateson 1991:306), a veritable "economics of flexibility" of human thought (Bateson 1991:158). \n \n "Co-management literature describes co-management 'inefficiencies' as the continued divergence in the attitudes and beliefs of state managers and community resource users (Kruse et al. 1998). Alternatively, co-management "failures" may signify the continued potential for the 'successful' respect of conceptual pluralism. The lasting differences between the beliefs and attitudes of local resource users and state managers, may reveal much about the evolution of humility. For instance, continued differences between caribou users and government managers perceptions of caribou population dynamics (see Kruse et al. 1998) represents a significant epistemological problem - the reconciliation of different ways of thinking. Epistemologically-speaking, co-management may contain clues about how to overcome human beings deficit of what we are able to know and think (Bateson 1991:x) and in this century an increasing tendency to homogenize how we are able to know and think. \n \n "Currently, dominant global ideologies emphasize the "one-sided divorce, not only from nature but also from our own biology, and thus of course from our very selves" (Livingston 1981:82) leading to a mismatch between human behaviour and natural processes. This mismatch has strong implications for the human capacity to think about living processes and to act on this knowledge. In other words, how we learn about social-ecological linkages is as important as what we learn about these links. Caribou co-management systems are examples of the negotiation of the mismatch between human behaviour and ecological processes. The discrepancy between the thought and belief systems of traditional caribou users and government caribou managers may lead to significant integrative and complex learning about human-environment relations rather than dominant ways of thinking marginalizing alternative thought. \n \n "First, this paper explores the limitations of all conceptual realities due to the nature of language and human thought patterns. The presuppositions of the most prevalent conceptual reality in the world today, western science, is also explored in relation to the nature of human language. Second, the paper examines co-management, specifically caribou co-management in arctic and subarctic North America, for evidence of the evolution of the trust and the humility necessary for the maintenance of diverse conceptual constructs. Third, the integrative nature of metaphor and belief systems and the relationship between resource management effectiveness and human purpose is outlined. Finally, it is suggested that the learning occurring in cross-cultural and mainly informal co-management settings may lead to the metaphors, in essence, conceptual diversity."

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0070.010
Open science0.0020.020
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.159
Teacher spread0.150 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2009
Admission routes1
Has abstractyes

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