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Record W7051830954

Pacemakers (BWR/09) by Big Wave Records

2015· other· en· W7051830954 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2015
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeInterpretation (philosophy)Active listeningFeelingFrench New Wave
DOInot available

Abstract

fetched live from OpenAlex

The idea of the heart metaphorically or symbolically is used to express emotion, affection, love and strength. It is also used as an expression of weakness when it becomes wounded and broken. Negative emotions create nervous system chaos while positive emotions create the opposite. This concept was created to inspire 15 hand-picked Pacemakers from around the globe to create and share their personal artistic interpretation of this phenomenon. Pacemakers (BWR/09) is the 2nd guest compilation release by Big Wave Records , special thanks to each and every artist involved for turning this idea into reality and in the manifestation of this album. Featuring: APHEXIA (Germany), Project Hybrid (Belgium), Combo Reseller (Italy), Mr Sunshine (UK), Rob Neubauer (USA), Palagran (Israel), Sinking Feeling (USA), Endlicht Fruehling (Austria), Mr Kapow (Australia), Tethys (USA), Scanner Darkly (Canada), Somatic Waves (UK), Rotten Tropics (Canada), Alchesound (ZA), The Shimmer Effect (ZA/UK). More on the artists . All audio created, produced and mixed by respective artists and remain their intellectual property. Compiled by Big Wave Records . For your listening enjoyment. © Attribution Non-commercial No Derivatives.

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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0700.014

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 head0.007
GPT teacher head0.169
Teacher spread0.162 · 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; both teacher heads 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
Published2015
Admission routes1
Has abstractyes

Explore more

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