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Record W3215101140 · doi:10.25316/ir-17002

Casting a stone in the water : an exploration of truth and reconciliation in the context of a public utility

2021· article· en· W3215101140 on OpenAlexaboutno aff
Michelle Suzanne Paquin

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)CastingArtificial intelligenceGeologyComputer scienceArchaeologyHistoryArtVisual arts

Abstract

fetched live from OpenAlex

My partner organization for my research was FortisBC (FEI), a public energy utility in British Columbia. My purpose in exploring truth and reconciliation in my organization was to examine how the organization could respond to the Truth and Reconciliation Commission of Canada’s 92nd Call to Action, which addressed Canadian businesses and corporations. In particular, I focused on the section that highlighted the need to build mutually respectful relationships with Indigenous peoples. In chapter one, I provide context for how I arrived at my primary research question and sub-questions: “How can FEI employees take action to build respectful relationships with Indigenous peoples in British Columbia?” My sub-questions are: what can FEI employees do to learn how the organization can become a more welcoming place for Indigenous peoples. Moreover, how can FEI change its business practices to better support Indigenous communities’ goals, as framed by Indigenous communities? Finally, I intended to encourage other non-Indigenous FEI employees to learn more about colonization and our collective responsibility in the truth and reconciliation process. Additionally, I hope that non-Indigenous peoples will be curious about Indigenous traditional governance, knowledge, and ways of knowing. In chapter two, I review literature from Indigenous scholars to answer my question: which actions can FEI employees take to build respectful relationships with Indigenous peoples in British Columbia? I explore two main themes through literature (a) relationships and (b) relational accountability in the context of truth and reconciliation. I also explore a number of subthemes, including Indigenous worldviews, settler-colonial relations, gender and colonization, reconciliation, Indigenous resurgence, and the responsibility of settlers in the truth and reconciliation process. Chapter three provides an overview of action research and speaks to how Indigenous research methodologies inspired my research process. Further, in chapter three, I provide insights into social constructionism and my overarching methodology, including study design, data collection methods, participants, data analysis, and trustworthy measures. In chapter four, I share my findings, conclusions, and limitations to my study. The themes represented in chapter four speak to the need for settlers to unlearn and re-learn Canadian history. Further, I discuss how non-Indigenous FEI employees should understand the ongoing impacts of colonization before engaging with Indigenous communities. At the same time, they should be open to learning about the value of Indigenous governance and ways of knowing. In chapter four, I explore the themes shared by research participants, including trust, transparency, and open communications as crucial steps for non- Indigenous peoples who seek respectful relationship building with Indigenous peoples. Finally, in chapter five, I include the organizational implications of my research, study recommendations, and implications for future study. My study recommendations reflect the importance of ongoing learning, change, and growth for FEI employees, including seeking Indigenous input on all matters related to business and operations. The intention of my recommendations is to be woven into corporate policy as to result in cultural transformation. Finally, in chapter five, I speak to how FEI can support future inquiry by examining corporate priorities and localized engagement with Indigenous peoples through a systems lens. The organizational change could be supported by exploring ways Indigenous governance and ways of knowing can inform how FEI employees build mutually respectful relationships with Indigenous peoples.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.263
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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