Two-Eyed Seeing in the Classroom Environment: Concepts, Approaches, and Challenges
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Two-Eyed Seeing has been used to promote coexistence of disparate paradigms in education, medicine and wildlife health, and a growing number of studies point to its promise for fisheries research and management, but there has yet to be equivalent comprehensive consideration of Two-Eyed Seeing applications in fisheries.
“Two-Eyed Seeing has been used to promote the coexistence of disparate paradigms across a variety of fields-for instance, in education (Hatcher et al., 2009;McKeon, 2012), medicine (Hall et al., 2015;Martin, 2012) and wildlife health (Kutz & Tomaselli, 2019)-and while a growing number of studies point to its promise for fisheries research and management (e.g.Abu et al., 2019;Giles et al., 2016;M”
From “Two‐Eyed Seeing”: An Indigenous framework to transform fisheries research and management (2021) · cites this paper as Hatcher et al., 2009
Two-Eyed Seeing is set apart from other Indigenous frameworks by its explicit action imperative: knowledge transforms the holder and the holder bears a responsibility to act on that knowledge.
“It is set apart from other Indigenous frameworks in its explicit action imperative-central to Two-Eyed Seeing is the notion that knowledge transforms the holder and that the holder bears a responsibility to act on that knowledge.”
From “Two‐Eyed Seeing”: An Indigenous framework to transform fisheries research and management (2021) · cites this paper as Hatcher et al., 2009
Central to Two-Eyed Seeing is the notion that knowledge transforms the holder and that the holder bears a responsibility to act on that knowledge.
“Central to Two-Eyed Seeing is the notion that knowledge transforms the holder and that the holder bears a responsibility to act on that knowledge (Hatcher et al., 2009).”
From “Two‐Eyed Seeing”: An Indigenous framework to transform fisheries research and management (2021) · cites this paper as Hatcher et al., 2009
Two-eyed seeing seeks to avoid knowledge domination and assimilation by recognizing the best from both worlds.
“Two-eyed seeing seeks to avoid knowledge domination and assimilation by recognizing the best from both worlds (Hatcher, Bartlett, Marshall, & Marshall, 2009).”
From Relational Systems Thinking: That's How Change is Going to Come, From Our Earth Mother (2021) · cites this paper as Hatcher, Bartlett, Marshall, & Marshall, 2009
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 20 · Cited by 215
- Authors
- Hatcher, A., Bartlett, C., Marshall, A., & Marshall, M.
- Affiliations
- Cape Breton University (CA)
- Nova Scotia Department of Energy (CA)
- Venue
- Canadian Journal of Science, Mathematics and Technology Education
- Published
- 2009-09-17
- Volume
- 9
- Issue
- 3
- Pages
- 141-153
- ISSN
- 1492-6156 (ISSN-L)
- 1942-4051
- OpenAlex
- W2019287002
- Cited by
- 215
- References
- 20
- Citations by year
- 2026: 10 · 2025: 31 · 2024: 12 · 2023: 17 · 2022: 13 · 2021: 35 · 2020: 16 · 2019: 11 · 2018: 12 · 2017: 12 · 2016: 6 · 2015: 5 · 2014: 10 · 2013: 8 · 2012: 14
- FWCI
- 22.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Canadian Journal of Science Mathematics and Technology Education (publishedVersion)
- Topics
- Social Sciences › Education › Indigenous and Place-Based Education
- Social Sciences › Health › Indigenous Health, Education, and Rights
- Social Sciences › Cultural Studies › Indigenous Cultures and Socio-Education
- Keywords
- Two-Eyed Seeing, integrative science, Indigenous science, transdisciplinary curriculum, place-based education, co-learning, culturally responsive teaching, psychological safety, science education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review