MétaCan
Menu
Back to cohort
Record W4289329421

Financial bubbles and their magic: asset price as a heroic journey in the financial markets

2018· article· en· W4289329421 on OpenAlex
Alexandru Balasescu, Apurv Jain

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.

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Systems and Global Transformations
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMAGIC (telescope)Asset (computer security)FinanceFinancial marketBusinessEconomic bubbleEconomicsFinancial systemFinancial economicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Why do financial crises appear unprecedented in spite of being a rather regular occurrence across countries and time? There are many answers from various schools of finance and economics, including Minsky’s financial instability hypothesis in which systemic stability endogenously results in instability. We explore the inclusion of observed human behavior in an endogenous framework by engaging with anthropological concepts such as myth, ritual and magic that structure and explain our behaviour, and by extending the concept of agency from human to non-human. We also point to the possibility of better understanding our position in the mythological cycle using the new social media data. The aim of the article is to offer a holistic framework of interpretation of causes and circumstances of economic crises, using the tools of economy, semiotics, and economic anthropology that would account for both the universality of these crises and for their particular occurrences that always seem unique.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.334
Teacher spread0.303 · 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