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Record W7058590025

New York City Improv Comedian Helps Lawyers Hone their Skills

2012· article· en· W7058590025 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningImprovisationCompassionPerforming artsPeople skillsCraft
DOInot available

Abstract

fetched live from OpenAlex

New York City Improv Comedian Helps Lawyers Hone their Skills\nTORONTO, November 26, 2012 – In the world of legal education, it’s rare to find a class that can be described as playful, silly and fun. But that’s exactly what lawyers enrolled in the “Improv(ed) Legal Skills” Improvisation Workshops on Wednesday, November 28, 2012 at Osgoode Professional Development Centre, 1 Dundas Street West, 26th floor, Toronto, will encounter.\nTommy Galan, an accomplished lawyer, professional speaker, performer and Director of Corporate Programming at The Peoples Improv Theater in New York City, where he teaches the benefits of improv to lawyers, executives and business teams, will lead workshop participants in classic improv exercises and drills to help hone their skills as lawyers.\nEvery lawyer, Galan says, needs to be able to actively listen, stay in the moment and deal with the unexpected. Lawyers must also be able to embrace risk, understand the importance of body language and know how to develop rapport with fellow lawyers, jurors, clients, judges and other stakeholders.\nAll of these skills are honed through the study of improvisation, says Galan, who defines improv as “anything that’s not scripted.”\n“Improv relies on effective communication, listening skills, and compassion along with the skills of performance, presentation, public speaking, and acceptance through the concept of ‘Yes, and,’” Galan says. “Honing improv skills can benefit lawyers in any area of practice by making them better able to think quickly on their feet, answer questions on the fly, and speak with greater confidence and poise.”\nIf the registration for this groundbreaking and innovative workshop at Osgoode Professional Development is any indication, there are many lawyers who want to learn how to use the tool of improvisation.\nGalan’s morning workshop, which runs from 9 a.m. to 12.30 p.m. and qualifies for Continuing Professional Development (CPD) credits for lawyers and paralegals in Ontario, has sold out and an afternoon workshop starting at 1.30 p.m. has been added.\nGalan has delivered his workshop, which is an accredited Continuing Legal Education (CLE) course in New York State, to the NYC Law Department, the American Bar Association, Hofstra Law School, and hundreds of lawyers in both the private and public sectors. In April 2012, the CLE course was recorded by ALM Media for internet distribution.\nGalan’s Improv Business Classes entertain and educate clients such as the NBA, Martha Stewart Omnimedia, AMC Networks, Avrett Free Ginsberg, Medallion Retail, Benchmark Hospitality, New York University, Columbia University, Hofstra Law School, and Baruch College.\nGalan is on the Board of Directors of Daytime Moon Creations, a non-profit organization that offers recreational theatre programs to children and young adults with a full spectrum of special needs. He performs, speaks and teaches regularly in New York City where he lives with his wife and two sons.\n-30-\nFor further information, please contact:\nVirginia Corner\nCommunications Manager\nOsgoode Hall Law School of York University\n416-736-5820\nvcorner@osgoode.yorku.ca

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.503
Threshold uncertainty score0.709

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.001
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5030.107

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

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
Published2012
Admission routes1
Has abstractyes

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