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Record W7135804771

Swivel seal fob

2023· dissertation· cs· W7135804771 on OpenAlexaboutno aff
Pavel Maličký

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2023
Typedissertation
Languagecs
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSeal (emblem)WitnessSubject (documents)Presentation (obstetrics)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

F Abstract The main goal of this diploma thesis is a presentation of the phenomenon of the calotte rotary seal, a type of a personal sealing tool allowing the user to seal with three identities. Their development can be traced from the last quarter of the 17th century to the beginning of the 20th century. The importance of the calotte seals can be seen on more levels: they witness the end of the era of sealing under a paper cover, symbolize the transformation of the sealing tool into a device indicating its owner's status and turn the seal into a piece of jewelry in a short time. Since these were personal items, the frequency of their occurrence in collections is minimal and references in the expert literature are almost not to be found. As late as in 1970, a brief mention of their existence was made in the basic work of European sfragistics by E. Kittel: "Siegel". It is clear from this that a familiarization with this seal type has offered an attractive subject for the diploma thesis, divided into a general and a special part. The general part presents the two-hundred-year development of sealing tools' construction, describing it and introducing terminology, richly documented by pen-and-ink drawings of their individual components. Special attention is dedicated to the calottes, classified according to the...

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)0.001
metaresearch head score (Gemma)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.476
Threshold uncertainty score0.747

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4760.308

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 head0.018
GPT teacher head0.246
Teacher spread0.227 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicCultural Heritage Materials AnalysisFrench-language works237,207