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Record W2071434299 · doi:10.1504/ijepdm.2014.067576

Property rights regimes in protected areas and the development of local communities: what is the way forward? The case study of Sariska Tiger Reserve in India

2014· article· en· W2071434299 on OpenAlexaff
Maria Costanza Torri, Thora Martina Herrmann

Bibliographic record

VenueInternational Journal of Environmental Policy and Decision Making · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTigerProtected areaProperty rightsNatural resourceNature reserveEnvironmental resource managementEnvironmental planningLocal communityGeographyBusinessNatural resource economicsEconomic growthEnvironmental protectionPolitical scienceEconomics

Abstract

fetched live from OpenAlex

The property rights regime forms the backbone of India’s national conservation strategy, but its success in social terms has not been always evident. In particular, the consequences of the creation of protected areas, in which forests within these boundaries were nationalised resulted in local populations losing customary access rights. The paper analyses the implications of two approaches to management of protected areas. First, it analyses the current property rights regime for conservation of natural resources and the socioeconomic development of local communities in Sariska Tiger Reserve, Rajasthan, India. Second, it reviews an informal community-conservation initiative for a local forest in which local villagers in conjunction with local NGOs, manage forest resources. We draw on this analysis to make recommendations for achieving greater effectiveness in meeting conservation and rural development objectives.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.015
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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