diff --git a/scoping_review.qmd b/scoping_review.qmd
index 260b842..85605fa 100644
--- a/scoping_review.qmd
+++ b/scoping_review.qmd
@@ -312,7 +312,7 @@ For each dimension of definitions, a cluster containing possible utilized terms
 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.
 
 The search protocol then follows a three-staged process of execution: identification, screening and extraction.
-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.
+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.
 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.
 Relevant results are then complemented through the adoption of a 'snowballing' technique,
 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.
@@ -340,7 +340,7 @@ At least one general term and at least one additional term have to be mentioned
 
 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.
 Where terms have been identified from previous reviews outside the introduced ILO policy guidelines,
-there source has been included in the table.
+their sources have been included in the table.
 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.
 
 ::: {#tbl-intervention-terms}
@@ -516,7 +516,7 @@ While this can mean a decreased interest or different focus points within academ
 it may also point towards newly arising alternative term clusters, or a re-focus towards different interventions,
 either of which may not be completely captured in the data and should thus be kept in mind for future scoping efforts.
 
-The predominant amount of literature is based on white literature, with only a marginal amount solely published as gray literature.
+The predominant amount of literature is based on white literature, with only a marginal amount solely published as grey literature.
 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.
 Such a stark gap speaks to a well targeted identifaction procedure, with more up-to-date white literature correctly superseding potential previous publications.
 
@@ -1268,7 +1268,7 @@ with each region often having both a specific focus in policy-orientations and a
 and in some cases also differing underlying term bases.
 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.
 
-One reason for such a differentiation could be a larger amount of gray literature captured compared to other regions,
+One reason for such a differentiation could be a larger amount of grey literature captured compared to other regions,
 which may be utilising less established terms than the majority of captured literature for policy implementations.
 Another reason could be the actual implementation of different policy programmes which are then equally not captured by existing term clusters.