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Record W7034267004

Suuret setelit, osa 3 : Pankkien rahaliikennesetelit

2021· other· et· W7034267004 on OpenAlexfundno aff

Bibliographic record

VenueTheseus (Ammattikorkeakoulujen) · 2021
Typeother
Languageet
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsnot available
FundersBank of Canada
KeywordsProcess (computing)Product (mathematics)Identification (biology)
DOInot available

Abstract

fetched live from OpenAlex

Jorma ImppolaSuuret setelit, osa 3: Pankkien rahaliikennesetelit "Annan toisten mä talletella suuret setelit, ne multa pitkät vain saa..." laulettiin aikoinaan, mutta kuinka suuria seteleitä sitten on tehtykään?Eri maiden keskuspankit ovat myös painaneet erittäin suuriarvoisia seteleitä, jotka on tarkoitettu vain keskuspankkien sisäisiin ja pankkien välisiin maksutapahtumiin eikä siis normaaliin rahaliikenteeseen. Australian £1000 seteliAustralian £1000 seteli mallia 1914-24, joita tiedetään myös muutama lasketun normaaliin rahaliikenteeseen.Seteli painettiin ensimmäisen maailmansodan aiheuttaman kullan hamstraamisilmiön vuoksi, koska ei haluttu siirrellä suuria kultamääriä Australian eri pankkien välillä.Seteleitä painettiin kaikkiaan 88 585 kappaletta, joista varsinaisesti laskettiin liikkeelle 52 600 kappaletta.Seteleiden julkinen liikkeellelasku kuitenkin lopetettiin kesäkuussa 1915.Seteleitä ei löydy yksityisistä kokoelmista lainkaan ja julkisissa kokoelmissa on vain mitätöityjä kappaleita.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3600.201

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 head0.032
GPT teacher head0.256
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractno

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