Guatemala

Citizen Law Initiative for Gender Identity

The gender identity law initiative was the product of a process of deliberation among different civil society organizations which, in 2009, drafted the proposal. This participatory process was resumed in 2016 and the draft was modified. A year later, it was introduced in Congress by a member of the "Convergencia" (lit. convergence) party, with the support of several activist groups. The law proposes the recognition of equal marriage, of the identity and rights the transsexual population, and of hate crimes based on sexual orientation as crimes of discrimination; in addition, it suggests policy measures for the prevention of bullying of LGBTI youth.

Institutional design

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Formalization: is the innovation embedded in the constitution or legislation, in an administrative act, or not formalized at all?

Frequency: how often does the innovation take place: only once, sporadically, or is it permanent or regular?

Mode of Selection of Participants: is the innovation open to all participants, access is restricted to some kind of condition, or both methods apply?

Type of participants: those who participate are individual citizens, civil society organizations, private stakeholders or a combination of those?

Decisiveness: does the innovation takes binding, non-binding or no decision at all?

Co-governance: is there involvement of the government in the process or not?

Formalization
embedded in the constitution/legislation 
Frequency
single
Mode of selection of participants
open 
Type of participants
citizens  
Decisiveness
democratic innovation yields a non-binding decision  
Co-Governance
yes 

Means


  • Deliberation
  • Direct Voting
  • E-Participation
  • Citizen Representation

Ends


  • Accountability
  • Responsiveness
  • Rule of Law
  • Political Inclusion
  • Social Equality

Policy cycle

Agenda setting
Formulation and decision-making
Implementation
Policy Evaluation

How to quote

Do you want to use the data from this website? Here’s how to cite:

Pogrebinschi, Thamy. (2017). LATINNO Dataset. Berlin: WZB.

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