lobbyTO

Registration SM23010 · consultant

Marlin Spring Investments Ltd.

Status: closed18 April 2016 to 18 September 2016Source 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
Marlin Spring Investments Ltd.
Consultant firm
Bousfields Inc.
Registrant
Laurie McPherson
Type
consultant
Status
closed
Dates
Approved 19 April 2016; 18 April 2016 to 18 September 2016

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 2301 Danforth Ave.

Addresses named: 2301 Danforth Ave (Ward 19)

Automated summary of the registration text

Registered, communicating about ZBA application in support of redevelopment of 2301 Danforth Ave

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

Lobbyists

Organisations named

Communications

Communications per month

2016-04 to 2016-04

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 31 Beaches-East YorkMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 31 Beaches-East YorkMember of council1118 April 2016
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
18 April 2016Ward 31 Beaches-East YorkJanet Davis
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