"Best Paper Awards Italy 2013” per la sessione Banking, in occasione della “European Business Research Conference”, Sheraton Roma Hotel, Roma, 05-06 settembre 2013.
Bibliographic record
Abstract
The recent financial crisis has generated an impressive debate between practitioners and scholars about the causes and consequences of the crisis, as well as about the effectiveness of supervision and the overall architecture of prudential supervision for providing the stability of international financial system (Borio, 2008; Blundell-Wignall, Atkinson, Lee, 2008; Kirkpatrick, 2009; Acharya, Richardson, 2009). From this perspective, particularly interesting has been considered the experience of those banking systems, where the high level of debt achieved by families, can play a determinant role on the availability of credit for the whole economy. More in particular, among other issues, an increasing attention has been dedicated throughout two main objectives for families’ loans demand, namely the request for house’s purchase and consuming sustain (Ferrari et al, 2010). Moving from this perspective, the present work aims to analyze the dynamics that have affected the market of consumer credit in the aftermath of the recent financial crisis, with particular reference to management policies and commercial solutions adopted by leading operators in Italy. In this regard, we proceeded in the creation of a survey, which we conducted between late 2012 and the first quarter of 2013, through a careful choice of sampling analysis, made as of the preparation and subsequent administration of a specific questionnaire we submitted to a selected sample of Italian credit intermediaries. As expected, among other results, we find that the financial crisis strongly reduced the capability of families to achieve any financing for their purposes, even if significant differences arise from specific characteristics of loans and customers creditworthiness.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.336 | 0.136 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".