Stasior (29 risultati)

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Good. This medical handbook offers a summary of important original literature and cites primary data for common in-patient and out-patient topics in internal medicine. The authors explain which information is clinically useful and which advice is supported by sound research. In addition to providing prescriptions for practice patterns along with a string of references at the end of each chapter, the manual also examines the original studies and details how the primary data supports specific conclusions. …

Paperback. Condizione: Good. This medical handbook offers a summary of important original literature and cites primary data for common in-patient and out-patient topics in internal medicine. The authors explain which information is clinically useful and which advice is supported by sound research. In addition to providing prescriptions for practice patterns along with a string of references at the end of each chapter, the manual also examines the original studies and details how the primary data supports specific conclusions. …

Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: New.

spiral bound soft cover. Condizione: good. NOT an ex library book. Book with plastic spiral binding. 297 pages.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. New Copy. Customer Service Guaranteed.

Paperback. Condizione: Brand New. 224 pages. 9.21x6.14x0.56 inches. In Stock.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: Used. pp. 744.

Condizione: Used. pp. 744 1st Edition.

Condizione: Used. pp. 744.

Paper Back. Condizione: Very Good. No Jacket. Fourth Edition. 227pp.; SC white plastic comb-binding; blue w/white&yellow (no title on spine); rubbed w/lt.wear; PONft.cover&inside; clean,tight pgs. Semiconductor theory; transistor construction; amplifiers&circuits. illus.

Paper Back. Condizione: Very Good. No Jacket. Fourth Edition. 227pp.; SC white plastic comb-binding; blue w/white&yellow (no title on spine); rubbed w/lt.wear; PONft.cover&inside; clean,tight pgs. Semiconductor theory; transistor construction; amplifiers&circuits. illus.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condizione: Like New. Like NewLIKE NEW. book.

Rústica. Condizione: Bien. LIBRO - MASSACHUSETTS GENERAL HOSPITAL - Firma de anterior propietario.

Condizione: New. Satisfaction Guaranteed or your money back.

Paperback. Condizione: new. Paperback. With legal ethics in the national spotlight, this first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law." The same AI, the book argues, holds the promise to reinvent attorney discipline and the justice system itself.The Massachusetts Board of Bar Overseers promises "to protect the public from unethical conduct by attorneys." In a typical year, it "resolves" 96% of the complaints it receives without opening an investigation, usually within 45 days and never with a written explanation.In Slot Machine Justice, a physician, healthcare analyst, and analytics entrepreneur uses AI to examine 24 years of attorney-discipline decisions in Massachusetts. By turning more than 4,000 unstructured legal decisions into a structured dataset, he asks a simple question: does the disciplinary system do what it claims?The answer reads less like blind justice and more like a slot machine.Similar misconduct produces wildly different outcomes. Mitigating factors, aggravating factors, conditions, and other case characteristics are inconsistently associated with the final sanction. The institution charged with protecting the public focuses heavily on the mechanics of running a practice-bookkeeping most of all-while substantive legal ethics play a far smaller role. Counting only the most serious sanctions-suspension or worse, for legal misconduct arising in Massachusetts-discipline reaches a lawyer roughly once per thousand years of practice.The author came to the project as both an analyst and a defendant. While facing a federal criminal case of his own, he went looking for how similar cases had been resolved-and found that the justice system, despite the mountains of documents it generates, had never organized those documents into something ordinary people could use. Attorney discipline became the proof of concept: with the help of AI, thousands of scattered legal records are transformed into a structured dataset of how a system actually behaves.But this book is about far more than one disciplinary board. It is a blueprint for the future of the legal system itself.The same AI that exposed these patterns can be applied to the courts, moving the law away from adversarial gamesmanship and toward data-driven improvement. The author proposes concrete next steps for improving both attorney discipline and the judicial system.Part personal narrative, part data sleuthing, and part public-accountability investigation, Slot Machine Justice does not ask readers to take its conclusions on faith. Hundreds of cited cases let them check the work themselves.A citizen with data held an institution accountable. This story shows what he found, how he measured it, and how the same approach could finally make the justice system answerable to the people it serves. A first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law" and argues AI can help fix it This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: New.

xv + 175pp., tables, figures, references, appendices. A doctoral dissertation presented to the Universiy of Massachusetts Clinical Psychology program. Publisher's cloth. Presentation copy; signed and note laid in. Very good.

Paperback. Condizione: new. Paperback. With legal ethics in the national spotlight, this first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law." The same AI, the book argues, holds the promise to reinvent attorney discipline and the justice system itself.The Massachusetts Board of Bar Overseers promises "to protect the public from unethical conduct by attorneys." In a typical year, it "resolves" 96% of the complaints it receives without opening an investigation, usually within 45 days and never with a written explanation.In Slot Machine Justice, a physician, healthcare analyst, and analytics entrepreneur uses AI to examine 24 years of attorney-discipline decisions in Massachusetts. By turning more than 4,000 unstructured legal decisions into a structured dataset, he asks a simple question: does the disciplinary system do what it claims?The answer reads less like blind justice and more like a slot machine.Similar misconduct produces wildly different outcomes. Mitigating factors, aggravating factors, conditions, and other case characteristics are inconsistently associated with the final sanction. The institution charged with protecting the public focuses heavily on the mechanics of running a practice-bookkeeping most of all-while substantive legal ethics play a far smaller role. Counting only the most serious sanctions-suspension or worse, for legal misconduct arising in Massachusetts-discipline reaches a lawyer roughly once per thousand years of practice.The author came to the project as both an analyst and a defendant. While facing a federal criminal case of his own, he went looking for how similar cases had been resolved-and found that the justice system, despite the mountains of documents it generates, had never organized those documents into something ordinary people could use. Attorney discipline became the proof of concept: with the help of AI, thousands of scattered legal records are transformed into a structured dataset of how a system actually behaves.But this book is about far more than one disciplinary board. It is a blueprint for the future of the legal system itself.The same AI that exposed these patterns can be applied to the courts, moving the law away from adversarial gamesmanship and toward data-driven improvement. The author proposes concrete next steps for improving both attorney discipline and the judicial system.Part personal narrative, part data sleuthing, and part public-accountability investigation, Slot Machine Justice does not ask readers to take its conclusions on faith. Hundreds of cited cases let them check the work themselves.A citizen with data held an institution accountable. This story shows what he found, how he measured it, and how the same approach could finally make the justice system answerable to the people it serves. A first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law" and argues AI can help fix it This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: new. Paperback. With legal ethics in the national spotlight, this first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law." The same AI, the book argues, holds the promise to reinvent attorney discipline and the justice system itself.The Massachusetts Board of Bar Overseers promises "to protect the public from unethical conduct by attorneys." In a typical year, it "resolves" 96% of the complaints it receives without opening an investigation, usually within 45 days and never with a written explanation.In Slot Machine Justice, a physician, healthcare analyst, and analytics entrepreneur uses AI to examine 24 years of attorney-discipline decisions in Massachusetts. By turning more than 4,000 unstructured legal decisions into a structured dataset, he asks a simple question: does the disciplinary system do what it claims?The answer reads less like blind justice and more like a slot machine.Similar misconduct produces wildly different outcomes. Mitigating factors, aggravating factors, conditions, and other case characteristics are inconsistently associated with the final sanction. The institution charged with protecting the public focuses heavily on the mechanics of running a practice-bookkeeping most of all-while substantive legal ethics play a far smaller role. Counting only the most serious sanctions-suspension or worse, for legal misconduct arising in Massachusetts-discipline reaches a lawyer roughly once per thousand years of practice.The author came to the project as both an analyst and a defendant. While facing a federal criminal case of his own, he went looking for how similar cases had been resolved-and found that the justice system, despite the mountains of documents it generates, had never organized those documents into something ordinary people could use. Attorney discipline became the proof of concept: with the help of AI, thousands of scattered legal records are transformed into a structured dataset of how a system actually behaves.But this book is about far more than one disciplinary board. It is a blueprint for the future of the legal system itself.The same AI that exposed these patterns can be applied to the courts, moving the law away from adversarial gamesmanship and toward data-driven improvement. The author proposes concrete next steps for improving both attorney discipline and the judicial system.Part personal narrative, part data sleuthing, and part public-accountability investigation, Slot Machine Justice does not ask readers to take its conclusions on faith. Hundreds of cited cases let them check the work themselves.A citizen with data held an institution accountable. This story shows what he found, how he measured it, and how the same approach could finally make the justice system answerable to the people it serves. A first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the "business of law" and argues AI can help fix it This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With legal ethics in the national spotlight, this first-of-its-kind, AI-assisted investigation reveals an attorney discipline system that is secretive, inconsistent, unfair, and obsessed with the 'business of law.' The same AI, the book argues, holds the promise to reinvent attorney discipline and the justice system itself.The Massachusetts Board of Bar Overseers promises 'to protect the public from unethical conduct by attorneys.' In a typical year, it 'resolves' 96% of the complaints it receives without opening an investigation, usually within 45 days and never with a written explanation.In Slot Machine Justice, a physician, healthcare analyst, and analytics entrepreneur uses AI to examine 24 years of attorney-discipline decisions in Massachusetts. By turning more than 4,000 unstructured legal decisions into a structured dataset, he asks a simple question: does the disciplinary system do what it claims The answer reads less like blind justice and more like a slot machine.Similar misconduct produces wildly different outcomes. Mitigating factors, aggravating factors, conditions, and other case characteristics are inconsistently associated with the final sanction. The institution charged with protecting the public focuses heavily on the mechanics of running a practice-bookkeeping most of all-while substantive legal ethics play a far smaller role. Counting only the most serious sanctions-suspension or worse, for legal misconduct arising in Massachusetts-discipline reaches a lawyer roughly once per thousand years of practice.The author came to the project as both an analyst and a defendant. While facing a federal criminal case of his own, he went looking for how similar cases had been resolved-and found that the justice system, despite the mountains of documents it generates, had never organized those documents into something ordinary people could use. Attorney discipline became the proof of concept: with the help of AI, thousands of scattered legal records are transformed into a structured dataset of how a system actually behaves.But this book is about far more than one disciplinary board. It is a blueprint for the future of the legal system itself.The same AI that exposed these patterns can be applied to the courts, moving the law away from adversarial gamesmanship and toward data-driven improvement. The author proposes concrete next steps for improving both attorney discipline and the judicial system.Part personal narrative, part data sleuthing, and part public-accountability investigation, Slot Machine Justice does not ask readers to take its conclusions on faith. Hundreds of cited cases let them check the work themselves.A citizen with data held an institution accountable. This story shows what he found, how he measured it, and how the same approach could finally make the justice system answerable to the people it serves.…

Taschenbuch. Condizione: Neu. Slot Machine Justice | How AI Exposed an Unmeasured Legal System-And What Comes Next | David Stasior | Taschenbuch | Englisch | 2026 | Broken Scales, LLC | EAN 9798995797807 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…