@article{fdi:010090914,
  title = {{F}raming the frame : cause and effect in climate-related migration},
  author = {{C}ottier, {F}abien and {F}lahaux, {M}arie-{L}aurence and {R}ibot, {J}esse and {S}eager, {R}ichard and {S}sekajja, {G}odfreyb},
  editor = {},
  language = {{ENG}},
  abstract = {{A}nalytic frames shape the causality we identify in climate-related crises. {H}ere we contrast examples from two primary categories of analytic frames, which we label "{E}nvironmental-{D}rivers" and "{S}ocial-{C}ausal" to draw attention to the implications of each frame with regards to causality. {W}e explore each frame via cases of 'climate-related' migration. {T}he article illustrates that each analytic frame carries implicit causal assumptions that prefigure causal findings. {A}nalysis can be done within either category of frame; yet the findings, however rigorous, remain contingent on the chosen frame and its assumptions. {A}n {E}nvironmental-{D}rivers model will hold the social context as fixed and quantify the incremental damages of a measure of climate change, while a {S}ocial-{C}ausal model will show how damages are generated by social vulnerability and its antecedents. {T}he latter may show that a given climate event may have no effect on a secure population but lead to massive damages among the vulnerable - and thus that the damage cannot be solely attributed to the climate event. {F}rame choice is normative as frames prefigure causes, potential solutions, the locus of responsibility, and suggested policy interventions. {T}he article poses the question of how a productive dialogue between these two frames can be generated and recommends that causal predisposition of models be made explicit so that the findings they indicate can be understood as partial to the choice of models. {A}s causal findings imply policy options, making the assumptions explicit while exploring the directions that other models would point in, will help broaden the range of possible policy responses.},
  keywords = {{BOTSWANA} ; {KENYA} ; {ZAMBIE} ; {SENEGAL}},
  booktitle = {},
  journal = {{W}orld {D}evelopment},
  volume = {158},
  numero = {},
  pages = {106016 [9 ]},
  ISSN = {0305-750{X}},
  year = {2022},
  DOI = {10.1016/j.worlddev.2022.106016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090914},
}