57 lines
3.6 KiB
Markdown
57 lines
3.6 KiB
Markdown
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# Meeting notes 2023-09-15
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## Questions/issues
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Points:
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- Ensure I am on right track with inclusion criteria at inequality-intervention-outcome nexus
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Q:
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- Which format best to start producing annotated bibliography in for end of month
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- Should we include purely qualitative reviews?
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- Capture them (in study screening) and tag accordingly
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- If including gray literature, I would propose specifically highlighting its status (i.e. adding it through footnotes or otherwise distinguish)
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- Some possibilities of avoiding docx for review itself to automate some of its descriptive statistics, etc.
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- What is the best way to go about integrating
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- I keep all my notes in the notes folder and zotero library
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- I continuously update a docx file called 'Scoping_Review_WIP.docx'
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- The individual milestones/approved and agreed upon changes are pushed to 'Scoping_Review.docx'
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## Updates
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- Natassia will work on a variety of indicators etc used
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- e.g. brought forth in ILOStat or LSMS
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- proposing policy categorization in 3 dimensions (for extraction of intervention properties):
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- institutional: changing the institutional *environment* of a country/context
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- related to changes in institutions
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- e.g. legal reforms adopted, adoption of supranational agreements (like Child Labour Convention/Recommendation), policies transforming the way of building/constructing/makeup of institutions, policies furthering institutional social protection of workers, ...
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- structural: interventions changing the *structural* conditions for people
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- *can* be related to institutional changes but also to others
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- e.g. looking at the way factors of globalization shapes outcomes; technology adoption (digital transformation or green revolution); changing geographical conditions through new transportation, or access to services; or improving access to for example access to electricity or improving WASH
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- agency/social-norms: related to lowering impact of individual characteristics of persons and empowering them individually
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- e.g. looking at the roots of why women/lgbtq/old people have a harder time finding jobs; policies towards affirmative action
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- using all 3 indicators (yesno/boolean) in matrix also enables more intersectional look at policies, by seeing which ones attack issues from variety of angles and e.g. which ones focus on a single one
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- should allow to substantiate with solid theory and backing through existing mechanisms identified in literature
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## ToDo
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- [ ] need to identify terms for further search:
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- [ ] 'definitions of concepts of employment creation'; employment outcomes
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- [ ] e.g. job creation, work creation, workplace creation
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- [ ] find the variety of interventions impacting employment
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- [ ] e.g. infrastructure development, distributive interventions, cash transfer etc
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- [ ] use Miguel introduced 3-dimension categorization for now
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- [ ] capture indicator: relative/absolute used in studies (extract)
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- [ ] e.g. diff in total number of jobs per gender (absolute) vs change of job distribution in pct (relative)
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- [ ] many will share pct looks at these
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- [ ] capture policy intervention type used (extract):
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- [ ] see above for policy categorization, introduce in extraction list
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- [ ] create small scale-based justification for three clusters
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- [ ] create clear inclusion/exclusion criteria on basis of above (esp LM outcomes & policy terms)
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- [ ] personally: find exact definitions for:
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- indicators
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- measures
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- ratios
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- and which ones are relative (ratios?) and absolute (measures?) and a comprehensive term (indic.?)
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