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Record W4413911605 · doi:10.32920/ifmj.v5i1-2.2426

Resonating Histories

2025· article· en· W4413911605 on OpenAlexvenueno aff
Nico Valdivia Hennig

Bibliographic record

VenueInteractive Film and Media Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

Hawk and Puma (2024) is a critically acclaimed minimalist video game developed with Bitsy by the Chilean studio Niebla Games in collaboration with members of the ÑawpaÑan community in the Sacred Valley of the Incas, Peru. The game invites players to join Guaman Poma de Ayala, the Indigenous Andean chronicler, on a metaphorical journey through his life, writings, and the struggles of his people during the colonial era. A central element of this journey is Guaman’s encounter with Maki, a spirit representing Niccolò Machiavelli. This interplay of figures—one defending Indigenous sovereignty and the other grappling with modern state power—creates resonances that are as historical as they are theoretical, bridging worlds across time and geography. Hawk and Puma has received critical acclaim, including nominations for the Explorer Award at A MAZE./Berlin 2024 and Best Diversity Game and Best Social Issues Game at the Gamescom LATAM / BIG Festival São Paulo 2024. Thematically, the game explores governance, power, sovereignty, and religion, resonating with Guaman Poma’s First New Chronicle and Good Government and Machiavelli’s The Prince. These figures, while temporally close, are rooted in different temporalities: Guaman Poma observed the collapse of the Inca Empire, while Machiavelli theorized the emergence of the modern state. This tension is represented through Guaman’s use of the chronicle, drawing, and writing to advocate for social and political change for Indigenous peoples, while Maki, as a restless spirit of the early modern European worldview, challenges Guaman's motivations and strategies. The game’s development is grounded in research-creation, where historical inquiry, decolonial aesthetics, and collaboration converge. Theoretical foundations include Silvia Rivera Cusicanqui’s (2018) concept of ch’ixi and Aníbal Quijano’s (2000) coloniality of power, alongside the referential texts Nueva Corónica y Buen Gobierno (2002) and The Prince (2004). These frameworks informed the game’s hybrid approach to cultural narratives and guided its design choices, particularly the integration of material metaphors—ink, weaving, and pixels. Guaman’s ink embodies testimony and resistance, Andean textiles signify cultural memory and continuity, and minimalist pixels critique both industry aesthetics and the extractivist underpinnings of digital infrastructures. Methodologically, the project began as an exploration of Guaman Poma’s work, emphasizing the materiality of ink and weaving as central to his acts of resistance and cultural memory. These material dimensions found resonance in the process of translating Guaman’s illustrations into pixel art, where Bitsy’s (2018) aesthetic evokes the texture of woven threads. Furthermore, Bitsy’s open-source and collaborative nature aligns with the communal practice of weaving, fostering shared experimentation and creation within its constraints. To extend this metaphor of weaving through collaboration, the project evolved into an active partnership with members of the ÑawpaÑan community. This collaboration led to a Quechua translation of the game, ensuring its cultural relevance and accessibility while transforming it into a living archive for local communities. Building on this ethos, the Andean Futures initiative empowers young creators from the Sacred Valley to craft their own narratives using minimal open-source tools, amplifying Indigenous voices and promoting cultural sustainability in digital spaces.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0170.018
Scholarly communication0.0120.013
Open science0.0020.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0490.009

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 head0.013
GPT teacher head0.319
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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