lobbyTO

Registration SM23222 · consultant

Whitecastle New Urban Fund

Status: closed6 June 2016 to 27 March 2017Source datasetReport an error on this page
Communications
2
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Whitecastle New Urban Fund
Consultant firm
Diamond Corp
Registrant
Bob Blazevski
Type
consultant
Status
closed
Dates
Approved 7 June 2016; 6 June 2016 to 27 March 2017

Subject matter

  • Planning and Development Application, Official Plan
  • Planning and Development Application, Zoning By-law

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

1095-1107 Yonge Stree 5 Scrivener Square 8, 10 10R Price Street

Addresses named: 1095 - 1107 Yonge Street (Ward 11); 10R Price St (Ward 11); 5 Scrivener Sq (Ward 11)

Lobbyists

Organisations named

Communications

Communications per month

2016-12 to 2017-01

2 communications, most in 2016-12 (1)

How and with whom

By method · 2 meetings

By office holder

Most-contacted offices

  • Ward 27 Toronto Centre-RosedaleMember of council2
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 27 Toronto Centre-RosedaleMember of council2225 January 2017
All communications· 2 rows
2 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
25 January 2017Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Meeting—
12 December 2016Ward 27 Toronto Centre-RosedaleKristyn Wong-Tam
Member of council
—Meeting—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored