fix(script): Fix gray to grey
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@ -312,7 +312,7 @@ For each dimension of definitions, a cluster containing possible utilized terms
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Each of the clusters contains synonymous terms as well as term-adjacent phrase combinations which are in turn used to refine or broaden the search scope to best encapsulate each respective cluster, based on the above definitions.
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The search protocol then follows a three-staged process of execution: identification, screening and extraction.
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First, in identification, the relevant policy, inequality and world of work related dimensions are combined through Boolean operators to conduct a search through the database repository Web of Science and supplemental searches via Google Scholar to supply potential gray literature.
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First, in identification, the relevant policy, inequality and world of work related dimensions are combined through Boolean operators to conduct a search through the database repository Web of Science and supplemental searches via Google Scholar to supply potential grey literature.
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While the resulting study pools could be screened for in multiple languages, the search queries themselves are passed to the databases in English-language only.
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Relevant results are then complemented through the adoption of a 'snowballing' technique,
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in which an array of identified adjacent published reviews is analysed for their reference lists to find cross-references of potentially missing literature and in turn add those to the pool of studies.
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@ -340,7 +340,7 @@ At least one general term and at least one additional term have to be mentioned
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For the policy intervention cluster, a variety of terms have been identified both from the ILO policy areas and guidelines as well as existing reviews, as can be seen in @tbl-intervention-terms.
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Where terms have been identified from previous reviews outside the introduced ILO policy guidelines,
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there source has been included in the table.
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their sources have been included in the table.
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For the database query, a single term from the general category is required to be included in addition to one term from *any* of the remaining categories.
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::: {#tbl-intervention-terms}
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@ -516,7 +516,7 @@ While this can mean a decreased interest or different focus points within academ
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it may also point towards newly arising alternative term clusters, or a re-focus towards different interventions,
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either of which may not be completely captured in the data and should thus be kept in mind for future scoping efforts.
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The predominant amount of literature is based on white literature, with only a marginal amount solely published as gray literature.
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The predominant amount of literature is based on white literature, with only a marginal amount solely published as grey literature.
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This represents a gap which seems reasonable and not surprising since the database query efforts were primarily aimed at finding the most current versions of white literature.
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Such a stark gap speaks to a well targeted identifaction procedure, with more up-to-date white literature correctly superseding potential previous publications.
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@ -1268,7 +1268,7 @@ with each region often having both a specific focus in policy-orientations and a
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and in some cases also differing underlying term bases.
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Such a contextual term differences may then not be captured adequately by the existing query terms and would point to a necessity to re-align it to the required specifics.
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One reason for such a differentiation could be a larger amount of gray literature captured compared to other regions,
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One reason for such a differentiation could be a larger amount of grey literature captured compared to other regions,
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which may be utilising less established terms than the majority of captured literature for policy implementations.
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Another reason could be the actual implementation of different policy programmes which are then equally not captured by existing term clusters.
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