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Record W4241711560 · doi:10.22215/etd/2020-14184

Shifting Ground: Fluid features of Mexico City

2020· dissertation· en· W4241711560 on OpenAlexaff
Lissette Forero

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsFutures contractMythologyContext (archaeology)PoliticsGeographyNatural (archaeology)Mexico cityCommon groundScarcityUrban infrastructureGroundwaterArchaeologyCivil engineeringUrban planningGeologyHistorySociologyPolitical scienceEngineeringEthnologyLawGeotechnical engineering

Abstract

fetched live from OpenAlex

Mexico City is defined by its aquafluxis; a duality of abundance and scarcity, floods and droughts.Infrastructure and ground manipulations are at the heart of a complex relationship between a lacustrine environment and the city.This thesis seeks to probe notions of ground and water to explore [sub]natural realities and possibilities within the urban context of Mexico City.The project takes a look at the historical, political, geographical and geological characteristics of the region, their impact on the urban development of the city and of ecological changes in the region.Drawings, maps and collages explore mythology, infrastructure and geology to speculate on fluid futures that re-conceptualize notions of inhabitation, water and ground.I Thank you --To my family, for their unwavering love and support.To my dad, for his encouragement, dedication, and willingness to always help me, especially with all things geology.To my mom, for her unwavering faith, love and sacrifice.To my sister, for keeping me company this past three years and lending me her ear every time I needed it.To my

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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 designObservational
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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same topicMexican Socioeconomic and Environmental DynamicsFrench-language works237,207