lobbyTO

Registration SM33382 · consultant

Choice Properties

Status: closed21 June 2022 to 31 December 2022Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
3
Published links only

Who

Client
Choice Properties
Consultant firm
NATIONAL Public Relations
Registrant
Stephen Adler
Type
consultant
Status
closed
Dates
Approved 21 June 2022; 21 June 2022 to 31 December 2022

Subject matter

  • Planning and Development
  • Planning and Development Application

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

Particulars

Incoming development applications for 2280 Dundas St W

Addresses named: 2280 Dundas St W (Ward 4)

Automated summary of the registration text

Registered, communicating about incoming development applications for 2280 Dundas St W

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

Lobbyists

Organisations named

Communications

Communications per month

2022-06 to 2022-06

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Councillor Perks, Ward 4Councillor staff1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Councillor Perks, Ward 4Councillor staff1124 June 2022
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
24 June 2022Councillor Perks, Ward 4Karen Duffy
Councillor staff
—Meeting
Meeting;Other:Video Conference
—

"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