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Record W4396781950 · doi:10.1353/tech.2024.a926354

Hacking Diversity: The Politics of Inclusion in Open Technology Cultures by Christina Dunbar-Hester (review)

2024· article· en· W4396781950 on OpenAlex
Maria B. Garda

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTechnology and Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsHackerDiversity (politics)Inclusion (mineral)PoliticsSociologyMedia studiesAnthropologyGender studiesPolitical scienceComputer scienceLawComputer security

Abstract

fetched live from OpenAlex

Reviewed by: Hacking Diversity: The Politics of Inclusion in Open Technology Cultures by Christina Dunbar-Hester Maria B. Garda (bio) Hacking Diversity: The Politics of Inclusion in Open Technology Cultures By Christina Dunbar-Hester. Princeton: Princeton University Press, 2020. Pp. 280. The open technology movement brought us the Linux operating system and the Firefox web browser. Its historical roots reach deep into the hacker and hobbyist cultures of the twentieth century. Hence, perhaps not surprisingly, open technology communities are facing the same problem as many other DIY cultures: lack of diversity. Since the 2000s, these issues have been challenged by a growing number of activists and social change advocates. Their volunteer work within open technology groups is the topic of Hacking Diversity, written by the leading scholar on democratic [End Page 740] control, Christina Dunbar-Hester. In her book, she poses a simple yet increasingly relevant question: "What happens when ordinary people try to define and tackle a large social problem?" (p. 3). In sociology, diversity reflects on the levels of inclusion of historically underrepresented groups in a social environment (e.g., workplace). Dunbar-Hester embraces diversity as an emic concept, "emanating from within the communities that form the subject of this study" (p. 17). There are arguably as many definitions of diversity as there are policymakers, but this kind of ethnographic approach allows the author to focus on the everyday practices of her respondents. Influenced by works of Gabriella Coleman (Hacker, Hoaxer, Whistleblower, Spy, 2015) and Sarah Davies (Hackerspaces, 2017), this book is a result of many years of extensive fieldwork and historical contextualization. Each of the six main chapters of Hacking Diversity introduces the reader to various examples of hacking, making, and crafting practices and communities. I especially applaud the attention paid to hobbyists from underrepresented demographic groups and borderline interventions, such as the experimental cryptodance event in Montreal that "conjoined arts practice with pedagogy about the principles of cryptography in computing" (p. 96). Dunbar-Hester directs much attention toward questions of social justice, and her observations are always framed with care and sensitivity toward the cultural complexity of the problem. The book is at its best when it critically investigates the relations of power in the open technology communities, be it online or in Brooklyn. To paraphrase the author, there is some deep irony in the fact that the previously discriminated social groups of geeks and nerds are now reproducing the dynamics of injustice within their own circles (p. 67). This kind of study will be of great value to future North American–oriented research, as it documents the diversity work within the hackerspaces at the time of the #MeToo and #BlackLivesMatter movements. Hacking Diversity exposes the internal struggles of a community that, on the one hand, has a lot of utopian faith in technological solutions being able to make the world a better place and, on the other, is slowly beginning to recognize that there is no simple hack that could solve the systemic problems society is facing. As Dunbar-Hester observes, just because the problem persists within technology culture doesn't mean it can be solved with a technological fix (p. 241). Furthermore, she makes a fine point that the diversity advocates in tech are often engaging with neoliberal and corporate-friendly notions of inclusion that are limited to representation politics and do not address the underlying issues of global equity (ch. 5). After all, if we investigate who works in the technology sector on a global scale, who actually makes the devices we all use, then "women workers of color actually abound" (p. 20). Overall, Hacking Diversity helps readers better understand the issues of diversity in the North American tech industry. It will prove to be a very useful resource for historians of technology, as it documents many ephemeral [End Page 741] events and communities. I hope the book will encourage more studies on local hacker culture, especially outside of the United States (such as Gerard Alberts and Ruth Oldenziel, eds., Hacking Europe, 2014), as well as on politics of inclusion in other areas of technology. Maria B. Garda Maria B. Garda is a postdoctoral researcher at the Centre of Excellence in Game Culture...

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.004
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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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