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Record W7067536257

Lost In A Dark Aquarium

2010· other· en· W7067536257 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2010
Typeother
Languageen
FieldSocial Sciences
TopicGerman Social Sciences and History
Canadian institutionsnot available
Fundersnot available
KeywordsBedroomDreamWork (physics)ConvictionOriginalityConsistency (knowledge bases)Quality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

As PANEYE, Sydney artist Will Treffry has pulled off a rare feat in the last two years – producing three full-length, self-released solo albums and a further body of work under a collaborative project with Jasper Rice titled BRISTLES ON THE CARAPACE. There are three elements however that work together to characterise this output as being a cut above your average bedroom producer: the sheer volume of material, the consistency of the quality and finally the clear originality that Treffry displays across all releases – all of which begs the question as to why Paneye isn’t a more recognisable name by now. His blend of psych-folk, ambient electronica, shoegaze and dream pop certainly echoes work by overseas contemporaries such as BEACH HOUSE, DUCKTAILS or BOARDS OF CANADA, although it is perhaps due to Treffry’s modest conviction in his recorded work – that it alone should represent him. Live performances under the Paneye name are uncommon, and there are scant few interviews or promotional material cluttered around him. Whether this release, his fourth full-length (recorded in a Tokyo guesthouse in Nishi Nippori), will do anything to change that remains unclear – suffice to say Treffry’s notion that “Lost In A Dark Aquarium” consists of twenty-four “ambient ditties” of “just synths and (his) feminine moaning” underplays what is a unique and singular release from an emerging Australian talent.

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)0.001
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 score0.520
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.5350.015

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 head0.006
GPT teacher head0.209
Teacher spread0.202 · 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
Published2010
Admission routes1
Has abstractyes

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