York U’s Lisa Philipps Receives “Top 100 Most Powerful Women” Award From The Women’s Executive Network
Notice bibliographique
Résumé
York U Senior administrator and professor at Osgoode Hall Law School recognized as an iconic female leader\nTORONTO, November 23, 2017 – York University’s Lisa Philipps, professor, Osgoode Hall Law School and interim vice-president academic & provost, has been named one of this year’s top 100 most powerful women in Canada by the Women’s Executive Network (WXN).\nLaunched in 2003, the Top 100 Awards celebrate the incredible accomplishments of Canada’s top female executive talent as well as their organizations and networks.\nLisa Philipps joined York in 1996 as a faculty member at Osgoode Hall Law School. In 2017, she was named interim provost and vice-president academic when her predecessor Rhonda L. Lenton was appointed York’s president and vice-chancellor. Philipps leads the senior academic administrative team in the areas of academic planning, institutional change management, the alignment of academic priorities and resources, and strategic enrolment and complement planning. She serves as director of research policy on the board of the Federation for the Humanities and Social Sciences, a national non-profit organization and is a member of the Provincial Judges Pension Board.\n“I am grateful for the leadership that Lisa has brought to Osgoode Hall Law School for many years, and now, to the broader university community in her role as interim provost and vice-president academic,” said Rhonda L. Lenton, President and Vice-Chancellor, York University. “Having such talented women in the most senior roles is vitally important across all sectors, and Lisa is an outstanding example of a woman in leadership who continually goes above and beyond not only in her day-to-day job, but who also takes time to encourage and mentor future women leaders.”\nPhilipps, who will receive the award in the PwC Public Sector Leaders category, will be honoured during a gala celebration on Nov. 23. The full list of winners is on the WXN’s 2017 Canada’s Most Powerful Women website.\nYork University is known for championing new ways of thinking that drive teaching and research excellence. Our students receive the education they need to create big ideas that make an impact on the world. Meaningful and sometimes unexpected careers result from cross-discipline programming, innovative course design and diverse experiential learning opportunities. York students and graduates push limits, achieve goals and find solutions to the world’s most pressing social challenges, empowered by a strong community that opens minds. York U is an internationally recognized research university – our 11 faculties and 26 research centres have partnerships with 200+ leading universities worldwide. Located in Toronto, York is the third largest university in Canada, with a strong community of 53,000 students, 7,000 faculty and administrative staff, and more than 295,000 alumni. York U’s fully bilingual Glendon campus is home to Southern Ontario’s Centre of Excellence for French Language and Bilingual Postsecondary Education.\nAbout the Women’s Executive Network (WXN)\nAt WXN, we inspire smart women to lead. WXN creates and delivers innovative networking, mentoring, professional and personal development to inform, inspire, connect and recognize our community of more than 19,500 smart women and their organizations in the pursuit of excellence. WXN enables our partners and corporate members to become and to be recognized as employers of choice and leaders in the advancement of women. \nFounded in 1997, WXN is Canada’s leading organization dedicated to the advancement and recognition of women in management, executive, professional and board roles. WXN is a founding member of the Canadian Board Diversity Council, dedicated to increasing the diversity of Canada’s corporate boards. In 2008, WXN launched in Ireland, followed by London, UK in 2015, creating an international community of female leaders.\n-30-\nMedia contact:\nGloria Suhasini, York University Media Relations, 416 736 2100 ext. 22094, suhasini@yorku.ca
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,001 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,235 | 0,061 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».