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Record W7117238995 · doi:10.1080/17430437.2025.2595654

“What about the rest of me?”: a post-colonial and critical disability analysis of the Invictus Games docuserie <i>s</i> and its representation of war, injury, and recovery

2025· article· en· W7117238995 on OpenAlexaff
Zeana Hamdonah, Adam Ehsan Ali, Janelle Joseph

Bibliographic record

VenueSport in Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsBrock UniversityWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsRest (music)Representation (politics)Perspective (graphical)Athletes

Abstract

fetched live from OpenAlex

Informed by a Global South perspective, this paper investigates the sport-military nexus through a media content analysis of the 2023 ‘Heart of Invictus’ docuseries about the Invictus Games, an international multi-parasport competition featuring injured veterans. We employa post-­colonial and critical disability approach to critically examine the use of sport in entangling national identity with discourses of war, peace, mental health/illness, disability, and rehabilitation. The findings highlight the role of the Invictus Games in perpetuating myths of linear redemption and recovery related to acquired disabilities, pain, and trauma, while also reproducing racialized representations of pain amongst wounded veterans. The findings further position the Invictus Games’ “unconquered” ethos in the docuseries as an extension of imp­erial subjugation and the erasure of the post-9/11 wars’ consequences for colonized (injured, Brown) bodies. Finally, the authors argue that the sport-military nexus constructed in ‘Hearts of Invictus’ reproduces a framework of ableimperalism.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.866

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 studies0.0000.002
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.340
Teacher spread0.323 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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