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Record W2979634053 · doi:10.1111/tran.12352

Trickle‐down debt: Infrastructure, development, and financialisation, Medellín 1960–2013

2019· article· en· W2979634053 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsDebtInternal debtExternal debtDebt levels and flowsEconomicsRecourse debtEquity valueDebt-to-GDP ratioPaymentDebt service coverage ratioBusinessFinance

Abstract

fetched live from OpenAlex

In many Latin American cities, infrastructure was largely financed through development lending over the second half of the 20th century. Exacerbated by debt crises and currency devaluations, public utilities became holders of significant levels of negative value. This encouraged public debt financialisation in order to mitigate the effects of shifting interest rates and devaluation. For David Harvey, negative value is the hallmark of contemporary capitalism whereby one must produce, not for profit, but to retire debt. This statement can be applied to indebted utilities, in the sense that the focus of utility governance – and its relationship towards those dependent on it for services – becomes reoriented towards debt management – or governing by debt. Full‐cost recovery emerges in this context as a mechanism to pay down the infrastructure debt held by utilities, which quickly led to increasing levels of user indebtedness. Service disconnection and pre‐paid metering emerge as processes to recover this user debt by enforcing a culture of payment through service exclusion. In these ways, the responsibility for infrastructure debt ‘trickles down’ in small – but individually significant – amounts to persons and households, enrolling them in the logic of debt (re)payment. This paper examines these issues through a case study of urban infrastructure financing, debt, and tariffs in Medellín, Colombia from 1960 to 2013.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.185
Teacher spread0.174 · 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