lobbyTO

Registration SM25010 · consultant

Oldstonehenge

Status: closed7 September 2017 to 29 September 2022Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
2
Published links only

Who

Client
Oldstonehenge
Consultant firm
Bousfields Inc.
Registrant
Peter Smith
Type
consultant
Status
closed
Dates
Approved 7 September 2017; 7 September 2017 to 29 September 2022

Subject matter

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

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

Particulars

Applications in support of redevelopment of 1705 Weston Road

Addresses named: 1705 Weston Rd (Ward 5)

Automated summary of the registration text

Registered, communicating about applications in support of redevelopment of 1705 Weston Road

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 11 York South-WestonMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 11 York South-WestonMember of council1116 October 2017
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
16 October 2017Ward 11 York South-WestonFrances Nunziata
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