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Record W7048202851

Knowing Water Worlds: A Postphenomenological Approach to Socioenvironmental Imaginaries in Costa Rica

2020· other· en· W7048202851 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
FundersOntario Trillium FoundationYork University
KeywordsMateriality (auditing)EthnographyContext (archaeology)HydroelectricityPoliticsEnvironmental sociologySociology of scientific knowledgeParticipant observation
DOInot available

Abstract

fetched live from OpenAlex

In a context of increasing liberalization and privatization of the energy sector in Costa Rica, a wave of applications for private concessions to build run-of-the-river dams has swept over the country during the last decade. These hydroelectric projects have caused concern among residents adjacent to the targeted rivers to the extent that a socioenvironmental conflict has erupted in several communities in the southern Pacific side of the country, which I refer to as water worlds. I use the term water worlds both to transcend the limits of a human-focused notion of community, and to refer to the mutually sustaining confluence of relations between the materiality of water, human and non-human living beings, knowledge claims and practices (acts-of-knowing) and their corresponding socioenvironmental imaginaries in particular territories and river water areas. This dissertation focuses on the acts-of-knowing and the underlying socioenvironmental imaginaries of these water worlds. 
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\nMy empirical study seeks a postphemenological ethnographic approach, and draws theoretical connections between Cornelius Castoriadis and Science & Technology Studies. Using advocacy research, it was conducted in 34 fieldwork sites, involved 14 unstructured interviews and dozens of conversations with community participants, and drew on numerous documents and visual resources.
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\nMy analysis shows how:
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\n- The Environmental Impact Study (EIS) report of the San Rafael River over-simplifies the knowledge capacities of neighbor communities and environmental groups. The EIS report does not fully take into account knowledge about biophysical dynamics that members of the communities are able to co-create using alternative acts-of-knowing, such as: (i) giving attention to historical perspectives, (ii) embodying practices, and (iii) creating community coalitions in response to perceived knowledge deficits.
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\n- Local communities co-create imaginaries of water worlds associated with ways of living and the maintenance of community relations, upon which rivers have significant influence. This notion of imaginaries as a life force of connectivity challenges the underlying (modern) assumptions and treatments of rivers, as expressed in the EIS report. That is, it defies the imaginary of rivers as quantifiable, determinable, divisible, and isolated from the human and non-human communities.
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\n- Multispecies encounters in daily situations represent an important element in understanding acts-of-knowing articulated by the local communities in the water worlds of this dissertation. Drawing from Cornelius Castoriadis perspective of living beings, I offer alternative imaginaries of the role of non-human animals in Costa Rica that are more intimate and affective than what I understand as mechanical and passive notions of non-human animals in the multiple spaces that they share together with humans.
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\nOverall, this dissertation contributes to a deeper (and politically significant) understanding of acts-of-knowing in a particular conflict over (more than) water. In doing so, it contributes to existing work on sociotechnical and environmental imaginaries in Science & Technology Studies and political ecology by adopting a postphenomenological perspective, which aims to transcend taken-for-granted assumptions about acts-of-knowing under the sustainable development approach in Costa Rica.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.137
Teacher spread0.130 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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