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Record W3202016663 · doi:10.14746/pss.2021.20.11

Prirodoslovno-umjetnička proza u hrvatskoj (dječjoj) književnosti

2021· article· en· W3202016663 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

VenuePoznańskie Studia Slawistyczne · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Science and Water Management
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianDanishNarrativeLiteratureClassicsHistoryScientific literatureArt historyArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Natural-scientific prose is characterized by a specific description of the natural world in which scientific information is fitted in the experience of nature and animal characters only partially or minimally anthropomorphized. The goal of this research is firstly to explore the presence and influence of foreign literary authors in the history of Croatian (childrenʼs) literature, who dedicated their literary work to this unique literary subgenre, such as a Danish journalist and writer Carl Ewald and an American-Canadian zoologist and literary author Ernest Thompson Seton. Furthermore, the aim of the paper was also to study the contribution of Croatian authors – Miroslav Hirtz, Zlatko Špoljar, Antica Juras-Ljubić and Vlatko Šarić – in this narrative form by methodologically relying on the insights of literary science and animal studies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.010

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 head0.008
GPT teacher head0.209
Teacher spread0.200 · 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