MétaCan
Menu
Back to cohort
Record W1510881822

Flood of Memories:Narratives of Flood and Loss in Tamil South India

2011· book· en· W1510881822 on OpenAlexaboutno aff
Aaron Mulvany

Bibliographic record

VenueScholarly Commons (University of Pennsylvania) · 2011
Typebook
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTamilFlood mythNarrativeFlash floodGeographyHistoryWater resource managementEnvironmental scienceArtArchaeologyLiterature
DOInot available

Abstract

fetched live from OpenAlex

Legendary deluges such as those said to have over-swept the Tamil lands or the flood waters that appear in popular religious and folk tales have long been a part of Tamil folk experience, and they serve as the backdrop against which contemporary flood is experienced. In this light, this dissertation explores the development and of disaster management policies in the Union Territory of Pondicherry from their origins in colonial-era policies to the significant re-orientation that followed the 2004 Asian tsunami. Conclusions are based on 14 months of ethnographic research in coastal fisher communities and government relief agencies in the Union Territory. Historical data collected from archives and interviews with territorial officials and NGO workers complement insights gleaned from extensive participant-observation and field collection among deep-sea fisher populations in the former French territories of the Coromandel Coast. Part one defines a Tamil “flood imaginary” by exploring myth-historic instances of flood in the Tamil-speaking region of India. The study then examines flood in the French colonies of India during the 18th and 19th centuries. Together these provide the background for better understanding the policies and beliefs about flood in place prior to the 2004 Asian tsunami and the effects these had on preparedness and resilience at both community and administrative levels. Part two focuses on the ways in which these affected how the territorial government and at-risk communities responded to the 2004 tsunami. Tensions that arose between government and community post-tsunami are examined through the interrogation of documents of agencies that undertook rehabilitation. “Official” narratives of relief and reconstruction are balanced against the perspectives of recipients of government and voluntary aid and the local panchayat leaders who are agents of first resort for lodging requests and grievances. Through a comparison of relief efforts taken within a single state, this research higlights the efficacy of an approach to disaster relief and mitigation planning that appropriately integrates outside expertise with community metis and demonstrates the value of policy informed by ethnography.

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)0.005
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 score0.025
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0250.020
Scholarly communication0.0090.008
Open science0.0030.013
Research integrity0.0030.007
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 head0.012
GPT teacher head0.185
Teacher spread0.173 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueScholarly Commons (University of Pennsylvania)Same topicFlood Risk Assessment and ManagementFrench-language works237,207