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Record W3043395392 · doi:10.37773/ees.v3i2.232

Hydrocultural Histories and Narratives

2020· article· en· W3043395392 on OpenAlexfundno aff
Amrita DasGupta

Bibliographic record

VenueEcology Economy and Society–the INSEE Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsNarrativePerspective (graphical)BENGALRelation (database)SociologyEnvironmental ethicsHistoryField (mathematics)AestheticsArchaeologyArtPhilosophyLiterature

Abstract

fetched live from OpenAlex

This article focuses on water-centric quotidian-actualities by bringing to the fore collected oral histories from the field and their relation to the local religious literature—Bonbibi’r Johuranama, Raimangal, Manasa Mangal. When asked about the water history of the region, the narratives of the locals reflect the desire to shift the attention from terrestrial–aquatic tyranny to climatic despotism. To put this into perspective, the islanders, at present, are conscious about how climate change holistically affects their deltaic ecosystem. The realization does not stop the community from engaging in age-old religious practices that have acquired habitual existence in the lower Bengal delta. This provides an entry point to a new cultural system re-centred on historical imaginations and novel spatialities, which in every aspect is exemplary for contemporary policy-makers.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.074
GPT teacher head0.279
Teacher spread0.205 · 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 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

Explore more

Same venueEcology Economy and Society–the INSEE JournalSame topicClimate Change, Adaptation, MigrationFrench-language works237,207