MétaCan
Menu
Back to cohort
Record W2959393087 · doi:10.5539/ach.v11n2p66

Recognition of Variety for $100 Malaya Japanese Invasion Money Pick Number M8a: Capital Block Letter M and Number of Ropes

2019· article· en· W2959393087 on OpenAlexvenueno aff
Dazmin Daud

Bibliographic record

VenueAsian Culture and History · 2019
Typearticle
Languageen
FieldComputer Science
TopicHandwritten Text Recognition Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)Block (permutation group theory)Capital (architecture)Dimension (graph theory)EconomicsFinanceHistoryMathematicsComputer scienceArtificial intelligenceAncient historyCombinatorics

Abstract

fetched live from OpenAlex

In this paper varieties which have not been described in numismatic reference book of the World War II Remembered-History in Your Hands-A Numismatic Study and numismatic major catalogues of Pick and KN Boon are introduced. It is shown that the $100 Malaya Japanese Invasion Money, Pick number “M8a” (Pick # M8a) has other types of varieties by scoping their capital block letter “M” and “number of ropes” respectively. The recognition of variety on paper money is an important problem for private collectors and numismatic researchers responsible for the classification of numismatic collections. The paper presents a research approach for recognizing unlisted varieties in paper money of M8a. Using convenience sampling, 81 pieces of the $100 M8a were analysed for the dimension, faceplate, backplate and block letter. This paper provides an insight for Japanese Invasion Money collectors to be aware of regarding the new varieties found from the paper money.

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 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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAsian Culture and HistorySame topicHandwritten Text Recognition TechniquesFrench-language works237,207