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Record W4412328982

Excellence Models and Complex Management Systems

2017· article· en· W4412328982 on OpenAlexaboutno aff
Rick L. Edgeman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCompetitive and Knowledge Intelligence
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceComputer scienceSystems engineeringProcess managementEngineering managementEngineeringEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The 9th Canadian Quality Congress Theme: Quality and Innovation in the 21st Century Special Sessions on Healthcare Quality and Innovation The conference focuses on the latest thinking in the areas of quality improvement strategies and innovations, knowledge management, success stories, case studies, lean management, Kaizen, six sigma, as applicable to healthcare indutries including stories from the manufacturing, government and educational institutions, and other sectors. Technical Sessions: More than 40 paper presentations on quality and innovation topics and culture transformation. World-class Keynote speakers: Keynote speakers are announced on the website. Watch for all updates regularly! Gala Dinner and Awards Ceremony Don't miss to attend this function. Also being presented are: Quality Chamipon Awards and the Best Paper Awards as selected by a team of experts. Selected papers are also published in journals. Don't miss the opportunity of international networking, exhibit booths, sight-seeing tours and much more. Registration Cancellation Cancellation requests received in writing after August 8, 2017 will incur a $100 processing fee. There will be no refunds after August 15, 2017. Substitutions are allowed at any time. Guest Registration Should a guest wishes to attend technical sessions, they must register as delegate, not as a guest. For Further Information Visit www.CanadianQualityCongress.com or contact us by email at: CSQ@shaw.ca; by Phone (Toll-Free) at: 1-888-286-4473 (US and Canada) Students If you are a student, please contact us at CSQ@shaw.ca with proof, and we will send you the link with the special $150 student rate. For proof, please send us a photo of your valid student ID, and documentation that you are currently enrolled as a full time student at an accredited college or university. Le 9e Congrès canadien de la Qualité Thème : Qualité et Innovation in the 21st Century Sessions spéciales sur la qualité et l’innovation dans les entreprises manufacturières et de service Vous aurez la chance d’assister à des présentations de dirigeants d’entreprises qui ont fait un succès de leur démarche, que ce soit en Lean, en amélioration continue ou en innovation. Des experts et des conférenciers de renom vous présenteront comment la qualité et l’innovation vont davantage s’intégrer dans les démarches d’amélioration du futur. Ateliers Des conférenciers de prestige, plus de 40 présentations, incluant des ateliers spécifiques sur l’innovation. Des conférenciers de classe mondiale Les principaux orateurs annoncés sur le site. Surveillez les mises à jour régulièrement ! Groupes de discussion avec des chefs d’entreprise sur la qualité dans les entreprises manufacturières et de service. Présentation du prix pour le meilleur article, une sélection des meilleurs papiers reçus sera également publiée. Réception de bienvenue, souper de gala, divertissements, remise de prix, réseautage international, kiosque d’exposition, visites touristiques et bien plus. Politique d’annulation Les demandes d'annulation reçues par écrit après le 8 August, 2017 entraînera des frais de 100 $ pour le traitement. Il n'y aura aucun remboursement après le 15 August 2017. Les remplacements sont autorisés à tout moment. Inscription des invités Si un invité souhaite participer à un atelier, il doit s’inscrire comme participant au congrès, et non comme un invité. Pour plus d’information Visitez www.CanadianQualityCongress.com ou envoyez un courriel à l’adresse suivante: CSQ@shaw.ca; téléphone (Sans-frais) : 1-888-286-4473 (US et Canada) Élèves Si vous êtes étudiant, veuillez nous contacter à CSQ@shaw.ca avec une preuve et nous vous enverrons le lien avec le tarif spécial de 150 $. Pour preuve, envoyez-nous une photo de votre carte d'étudiant valide et de la documentation que vous avez actuellement inscrit comme étudiant à temps plein dans un collège ou une université accréditée.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.093
GPT teacher head0.277
Teacher spread0.185 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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