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Record W4289731561 · doi:10.1177/02637758221116894

Like harvesting tarulla: The decolonization of being from a petrolized swamp

2022· article· en· W4289731561 on OpenAlexaff
Parisa Nourani Rinaldi, María Cecilia Roa-García, Estefany Grajales

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2022
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransformative learningDecolonizationColonialismPsycheDisappointmentMeaning (existential)SociologyHistoryAestheticsEnvironmental ethicsGeographyLawPolitical scienceArchaeologySocial psychologyPsychologyArtPoliticsPsychoanalysisEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The Palagua swamp in the Middle Magdalena region of Colombia is a territory governed by nearly a century of petro-development and armed conflict. This toxic reality, along with the disappointment of temporary legal victories and demands for environmental compensation, have left deep marks on individuals’ psyche, eroding the self-confidence and spirit of communities. Drawing on archival research, secondary regional sources, and 13 semi-structured interviews with former oil workers, fishers, farmers, and women activists, we delve into the meaning, implications, and transformation of petro-development and internal colonialism. We suggest that the decolonization of being in a petrolized environment implies challenging imposed imaginaries of development and perceiving forces of internal colonialism. This should be recognized as a long-term process, a painful incubation of possibilities, marked by persistent and transformative day-to-day actions.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.012
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.006
GPT teacher head0.167
Teacher spread0.161 · 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.

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
Published2022
Admission routes1
Has abstractyes

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