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Record W3115096339 · doi:10.5539/mas.v15n1p46

Assessing Ethno-Ecology of Women in Nepal: Practices and Perspectives

2020· article· en· W3115096339 on OpenAlexvenueno aff
Gem Prasad Gurung, Kamal Prasad Koirala

Bibliographic record

VenueModern Applied Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsnot available
Fundersnot available
KeywordsNepaliSloganPerspective (graphical)Natural resourceResource (disambiguation)Environmental degradationEnvironmental resource managementEcologyNatural resource managementSociologyGeographyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Women mostly involve in raring and caring natural resources in their daily life. This paper intends to explore the practices and perspectives of Nepali women on ecology conservation in relation to ecological, socio-cultural and religious perspectives. For environmental degradation, women's resource management plays a vital role in ecology conservation. As a qualitative research approach, field observation, focus group discussion, and in-depth interviews with women in the community were the methods of collecting necessary information. Nepali women involve in the collection and management of plant resources inappropriately. Therefore, their perspective and practice can play an important role to minimize the rapid degradation of the environment regarding with management of plant resources. The theoretical literature review consists of movements on environment conservation in the world and in Nepal. No doubt, the message of their contribution will be the lesson to the world for the protection of environment as well as to support and meet the slogan of “local act global think” to save the nature.

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)0.004
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.095
GPT teacher head0.404
Teacher spread0.309 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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