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Record W3048716212

‘Framing’ Negotiation: Participant perspectives on industry-Indigenous agreement-making in the resource extraction context

2019· dissertation· en· W3048716212 on OpenAlexaboutno aff
Stephanie Patricia Smith

Bibliographic record

VenueMinerva Access (University of Melbourne) · 2019
Typedissertation
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousNegotiationAutonomyFraming (construction)Political scienceViewpointsPublic relationsSociologyEnvironmental ethicsLawEngineeringCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines industry-Indigenous agreement-making with a focus on the diamond mine industry in Northern Canada. Agreement-making is posited as a platform for Indigenous voices and viewpoints, a mechanism to generate greater Indigenous autonomy in land and resource decision-making. To date, evaluations of agreement-making and its potential to engender autonomy, have mostly concentrated on parameters set by legal and policy architectures, and on outcome evaluation. Structural parameters and contextual factors at the meso political level are drawn into and inform negotiation as the ‘microprocess’ that shapes interaction and the outcomes produced. Despite this, insufficient attention is paid to parties’ engagement ‘on the ground’. This thesis helps to fill this gap. It contends that negotiation, namely parties’ actual interaction, is a critical site of agreement-making’s transformative potential. This study defines autonomy as agency and authorship within engagements. Arguably, ‘meaningful negotiation’ - being an equality of standing and opportunity for Indigenous voices and viewpoints - is required for this form of autonomy to be realised. ‘Meaningful negotiation’ must provide a generative platform in which parties can assert their values, understandings and practices and where these diverge, an ability to accommodate polysemy. The history of Indigenous-settler engagements reveals significant challenges in bringing about ‘meaningful negotiation’. Past settler-Indigenous engagements over land and resources have marginalised Indigenous peoples. These precedents reveal the imposition of Anglo-settler values, understandings and practices and unequal relations of power between these groups. Indigenous peoples have struggled to assert their autonomy through historic treaties and the formal recognition of international and domestic rights and recognition. Contemporary agreement-making has arisen to mediate ongoing settler-Indigenous conflict over land and resources. Proponents locate agreement-making within a valued ‘politics of recovery’ to contest and transform the status quo. Others, informed by settler-colonial and critical Indigenous theory, explicitly reject it as ‘redefining without reforming’. This thesis adopted a participant-based case study of the Impact Benefit Agreements of the diamond mining industry in the Northwest Territories, Canada. It examined the negotiation space through participant accounts, drawing on 28 qualitative interviews and primary and secondary document analysis. Its conceptual approach was informed by frame theory; ‘frames’ map where divergences arise and how these are mediated between the ‘sides’ negotiating. The study finds a number of factors worked to inhibit ‘meaningful negotiation’. This revealed itself as an inability to accommodate the most extreme points of divergence in values, understandings and practices. While some participants perceived the potential for greater autonomy within the negotiations of industry-Indigenous agreement-making, this proved contingent on the nature and scope of these divergences and their respective prospects for mediation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.271
Teacher spread0.234 · 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.

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
Published2019
Admission routes1
Has abstractyes

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