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Record W7095554771

ACKNOWLEDGEMENTS

2011· article· en· W7095554771 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsnot available
Fundersnot available
KeywordsProbateState (computer science)Economic JusticeSubject (documents)Succession planningSupreme court
DOInot available

Abstract

fetched live from OpenAlex

Many individuals and organizations contributed to the successful completion of this Court Executive Development Program research project. Notable among those supporting research on succession planning in the courts are Hon. Edward R. Post, Chief Judge of the 20 th Circuit Court; Hon. Mark A. Feyen, Chief Judge of the Ottawa County Probate Court; and members of the Courts ’ Leadership Team, Sandi Metcalf, Kelly Aylsworth, Jennell Challa and Penni DeWitt. Special thanks are also due the State Justice Institute, which provided essential financial support in the form of scholarships and grants. Without this SJI support, trial courts would not have the benefit of this important research on employee development. As with any type of research project, data collection can be troublesome without willing research participants. In this effort, all judges of the 20 th Circuit and Ottawa County Probate Courts participated, as well as supervisors and members of the Strategic Planning Oversight Team. Beyond the subject courts, several members of the Michigan Association of Circuit Court Administrators devoted time to complete survey questions and provide helpful suggestions and select Ottawa County Officials assisted with personal interviews. Specifically, the interviewees were County Administrator, Alan G. Vanderberg; Human Resources Director Marie Waalkes

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: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.906

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)0.0960.094

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 head0.048
GPT teacher head0.214
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
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
Published2011
Admission routes1
Has abstractyes

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