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Record W7068440614

Metalstorm

2014· other· en· W7068440614 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2014
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsReignEternityState (computer science)MiracleAviationRelevance (law)
DOInot available

Abstract

fetched live from OpenAlex

Episode of Naval Aviation In Audio, Radio program on Regina Community Radio. No.251, aired March 5, 2014. This episode's genesis begins with an urge to play Avram’s Metalstorm. I selected a passage from the fourth Night from William Blake’s Four Zoas, where Los, the prophet of Eternity in the form of a blacksmith, is rebuilding the fallen world out of the smashed body of Urizen, the god of reason. Out of these deathly metal remains, the deeply flawed modern world is fashioned with limits placed on death & chaos. In terms of a single life, a child destroys her own imagination in order to gain acceptance in the fallen “adult” world, and for a time relinquishes her right to reshape reality (the fall of Tharmas, in Blakean terms). Into this void rises the rule of Urizen, corresponding to the school system, where abstract ideas reign over material existence. When in early adulthood we realize scholastic notions of grammar and geometry have little direct relevance to our survival, Urizen’s empire declines, and we are left in a state of chaos until we can successfully enter the real world of jobs and money. Los’s activities in the fourth Night are humanity’s efforts to create something out of whatever remains of our imaginations, whatever is not utterly destroyed during our adolescence. But how do I relate Blake’s use of metal to heavy metal music, you ask? Well, Los’s activities in the Fourth Night relate to our imaginative efforts to recreate life out of the fallen world of markets & money. We shore up our own existence, and only then look for a reason to live. The fact that “survival” and “living” are somehow separate activities is a particularly modern problem – a merely philosophical quandary (“existentialism”) to some, and a practical-theoretical question to some others (“Marxists”). But in any event, Heavy Metal music is an attempt to divert the purpose of capitalist machinery to unify the principles of survival and life-force. It puts the buzz of engines to therapeutic use, and adds a scream of protest. And Ana-Maria Avram is doing something parallel with Metalstorm, a piece of computer assisted music that seems to conjur up a heavy metal pastoral, generating the “metal flies” referenced in GWAR’s Metal Metal Land. A dystopic swamp where gigantic contraptions emerge to breed with ominous high-voltage stormclouds descending. A small correction: I said Exciter was from the late-1980s – in fact, the band was formed in 1978, with Heavy Metal Maniac released in 1983, which means these Ottawa headbangers anteceded (and are said to have influenced) the first generation of west coast thrash (Metallica, Slayer, Death Angel, etc). Part 1 1. Moments Of Silence – Sheavy 2. Heavy Metal Maniac – Exciter 3. Naval Aviation In Art? – Frank Zappa 4. The Iron Giant – Hylozoists 5. Iron Dogs – Exciter 6. Bipolar – Metallic Taste of Blood 7. Is Your Metal Heavy? – Muscle Bitches 8. Fountains Of The Forgotten – Buckethead Part 2 1. Metal Metal Land – GWAR 2. Metalstorm I – Ana-Maria Avaram 3. One Tooth For The Time Train – Buckethead 4. The Metal – Tenacious D

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 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 score0.177
Threshold uncertainty score0.995

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)0.1820.005

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 head0.003
GPT teacher head0.169
Teacher spread0.166 · 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
Published2014
Admission routes1
Has abstractyes

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