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Record W7000678098

Getlin, Josh: Moscone deals with immediate crises

2009· article· en· W7000678098 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (University of the Pacific) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsNothingGeorge (robot)PoliticsWork (physics)Task (project management)Control (management)Government (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Getlin: [Moscone took] office and almost immediately there are two major crises facing the city that I think technically he is briefed on in depth before he even sits into his chair for the first time. Others can correct me on the chronology. One obviously is the waste water management, you know, controversy where that virtually every building permit the city is going to be yanked or shut down because we're in flagrant violation of federal clean water, wastewater emissions standards all over the city. And it turns out that the Department of Public Works has been failing miserably in its task to keep us in compliance and George is hit with this almost immediately. One of the first times I remember seeing a supervisor Dianne Feinstein in the office. Then if I can tell one story, it was the one and only time I think I heard Dianne Feinstein betray her Jewish roots at in a public conversation. Because she'd asked George, I believe, like, “Well who's in charge, who's been doing the point work for the city on this?” and he said, “I believe it’s Myron Tatarian”, and she said, “Oy Vey.” That was before any of us really had much knowledge of Myron Tatarian, who probably deserves his own massive of political biography. It was quite an upsetting thing because it necessitated immediate action. This was no joke, I mean, the fact that George was a new mayor meant almost nothing because this was a serious environmental problem. The city had to rally resources and show good faith instantly in a way that had not before, and it did. But that was a major thing for George to get over before he even really got accustomed to sitting behind his desk. And the other, of course, was the threatened departure of the San Francisco Giants from San Francisco, which also him right between the eyes. Immediately upon taking physical possession of his office and the whole story of trying to persuade the owners and, you know, and not to move to Toronto and to get new owners on board and all that, and that story's been well told. That should just give you an example of at a time when a mayor is just attempting to sort of settle in is and get some semblance of a grace period, he had none. He had none. He had twin crises from day one, from minute one.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.047
GPT teacher head0.298
Teacher spread0.250 · 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.

Study designTheoretical or conceptual
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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