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Record W1558147845

Database of corporate bonds from Argentina

2007· preprint· en· W1558147845 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEconstor (Econstor) · 2007
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicBusiness, Education, Mathematics Research
Canadian institutionsnot available
FundersBanco Bilbao Vizcaya ArgentariaEgg Farmers of Canada
KeywordsBondDefaultBusinessStock (firearms)Corporate bondDatabaseAccountingFinancial economicsEconomicsFinanceComputer scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

This document describes the construction of a database of corporate bonds issued by firms in Argentina between 1989 and 2005. The database draws on two main sources, the Bolsa de Comercio de Buenos Aires and the Comisión Nacional de Valores, while some additional information comes from the Mercado Abierto Electrónico. In all, we collected information on 1356 corporate bonds, though there are some bonds that have fields with missing information. Our data basically covers the characteristics of the bonds at time of issue. That is, we do not have a detailed description of how the characteristics of those corporate bonds that defaulted in 2001/2002 and were subsequently renegotiated changed. Based on the data from the primary markets, we constructed a series with the total outstanding stock of corporate bonds over this period. The information in the database allows to calculate these stocks at the firm level.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.068
GPT teacher head0.290
Teacher spread0.222 · 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