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12 Noon, Black Rock City

2009· article· en· W2063474898 on OpenAlexaff
Graham St John

Bibliographic record

VenueDancecult · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsNoonGeologyAtmospheric sciences

Abstract

fetched live from OpenAlex

It was a remarkable failure.My most impossible objective: to do The Man in a day.Yes, that was the plan.Mounting pressures and misfortune back in the world (a new job approaching, a lost suitcase care of United Airlines and other miscellaneous matters), forced my decision to attend the week-long Burning Man festival in Nevada's Black Rock Desert for one day only.Good thing, I thought, that my friend Seth was driving up on Wednesday night with the intention of departing by noon Friday (i.e. about thirty hours after our eventual arrival inside the festival at 4:30 AM Thursday).Seth would return to San Francisco to catch a flight to his mate's wedding.He was solid about this.I was resolute too... but Black Rock City has ways of tampering with your default settings, disrupting connections with the outside world, exposing sound intentions to immolation.So there we were, making the six hour drive to Nevada out of the Haight in a hired Honda Element Zipcar -me, Seth, and his Mozilla workpal Arun.These guys are smart, explorationists, driven, dedicated tech-visionaries, not uncommon credentials for citizens of Black Rock City.We each had a bike strapped on at the rear -for Black Rock City, which this year would be populated by an excess of 50,000 Burners, is a metropolis of treadlies, the principal means of transport throughout the city grid, down the promenades and across the open playa.Stopping for supplies in Reno -the Emerald City of Nevada, all grandeur and illusion -Seth and I stocked up for our day long ride through the city of marvels and its environs (Arun was staying for the duration).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.846
Threshold uncertainty score0.403

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)0.0000.000

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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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