lobbyTO

Registration SM25117 · consultant

Greenboard Holdings Ltd.

Status: closed2 October 2017 to 3 October 2020Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Greenboard Holdings Ltd.
Consultant firm
Bousfields Inc.
Registrant
Anna Wynveen
Type
consultant
Status
closed
Dates
Approved 3 October 2017; 2 October 2017 to 3 October 2020

Subject matter

  • Planning and Development Application, Zoning By-law

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

Particulars

ZBA application in support of redevelopment of 160,170,180,190 & 200 Chalkfarm Dr.

Addresses named: 190 & 200 Chalkfarm Dr. (Ward 7); 200 Chalkfarm Dr (Ward 7)

Automated summary of the registration text

Registered, communicating about ZBA application in support of redevelopment of 160,170,180,190 & 200 Chalkfarm Dr.

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2017-10 to 2017-10

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 7 York WestMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 7 York WestMember of council112 October 2017
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
2 October 2017Ward 7 York WestGiorgio Mammoliti
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