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Record W4392402894

National parks in transition towards “Nature and Anthropic National Parks” (PNNa) ? Comparative study of three inhabited natural national parks of the American Continent : the example of Quebecker, Guyanese and Colombian cases.

2016· preprint· en· W4392402894 on OpenAlexaboutno aff
Mara Sierra Jiménez

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typepreprint
Languageen
FieldSocial Sciences
TopicUrbanism, Landscape, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkGeographyNatural (archaeology)Environmental protectionAnthropic principleForestryPolitical scienceEnvironmental planningArchaeologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The evolution of international environmental policies and national and local conservation contexts gives increasing importance to the anthropic dimension within the national parks (category IIUICN). Not only does this dimension takes into account the local population that lives permanently in these various natural areas, but also the economic actors who, legally or illegally, benefit from those protected areas (tourism, gold-washing, wood, etc.) or participate directly or indirectly in the process of the territorial elaboration of a national park. The integration of the anthropic aspect definitely help the emergence of new dynamics and strategies of collaborative management and policies. Building on political geography, socio-cultural geography and political ecology , this thesis aims to shed light how that anthropic dimension (sociocultural as well as economical) entails the transition of some protected areas from a classical type to a new category we identify as the “Nature and Anthropic National Park” (PNNa). We focus on three specific study cases in the American continent: the Amazonian park of the French Guiana, the Sea Park of Saguenay-Saint-Laurent of Québec, Canada, and the Amazonian Amacayacu National Park of Colombia. The systemic analysis of their structure and their functioning, as far as macrostructure of policies and microstructures of management are concerned, has allowed us to bring out that transition in the territorial management of these category II protected natural areas and the deriving conflicts for power.

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)0.002
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 score0.673
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.291
Teacher spread0.265 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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