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Record W6967475729 · doi:10.5281/zenodo.10391493

Heathers 14

2017· other· en· W6967475729 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicLinguistic and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCallunaFunkBanquetHonourGerman

Abstract

fetched live from OpenAlex

Contents Calluna vulgaris bud-flowering (Knospenblüher) clones D. EVERETT : Bulletin – the first fifty years K. INMAN : Growing double-flowered heathers K. KRAMER : Development of heather production in Germany, particularly Calluna vulgaris: from wild heather to a commercial ornamental plant 15 D. MACKAY : The use of heathers in Scottish clan badges H. FUNK : Calluna vulgaris in German Holzbibliotheken (“wood libraries”) from the turn of the nineteenth century E. M. WULFF : The naturalized heathers of Newfoundland M. HALL : “Best of Both Worlds” – my garden design H. FUNK : Heather honey and white-blossomed Calluna in Hieronymus Bock’s herbal (1546) L. JUDSON : The Peace Garden at the Muslim Burial Ground in Woking, Surrey E. Scott Perth heather collections with a difference M. H. HANCOCK : Heather primacy disrupted: fire, cattle and extreme weather in an ancient Caledonian pinewood Proceedings of the Heather Society 2016 Awards of Honour 45th Heather Society Gathering 9–12 September 2016 Recent publication Supplement XVII (2017) to International register of heather names.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.547
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4530.176

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 head0.048
GPT teacher head0.237
Teacher spread0.189 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicLinguistic and Cultural StudiesFrench-language works237,207