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Record W7015065000

Shareholders back plan to raise billions to improve UniCredit

2017· other· en· W7015065000 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueInternet Archive (Internet Archive) · 2017
Typeother
Languageen
FieldDecision Sciences
TopicLeadership, Behavior, and Decision-Making Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEurosShareholderPlan (archaeology)Capital (architecture)Capital structureQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Shareholders in Italian bank UniCredit overwhelmingly backed a plan to raise 13 billion euros ($13.8 billion) in a capital increase as part of a broader strategy to improve the bank's profitability. Shareholders in Italian bank UniCredit last week overwhelmingly backed a plan to raise 13 billion euros as part of a broader strategy to improve the bank's profitability.The bank, Italy's largest by assets, earlier announced it will book an additional 8.1 billion euros in bad loans in the last quarter of 2016.CEO Jean Pierre Mustier's capital increase plan won the backing of 99.6 percent of retail investors.He said he plans to complete the capital increase in the first quarter,His plan also includes measures to offload 17.7 billion euros in bad loans and cut 14,000 jobs.UniCredit said the latest provisions were part of a new strategy to manage soured loans that includes speeding up their collection or selling them off.For the AP, I'm JL from the Rivet World Desk.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.001
Science and technology studies0.0000.001
Scholarly communication0.0020.000
Open science0.0090.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.057

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 head0.127
GPT teacher head0.368
Teacher spread0.241 · 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