“Back Then it was Only Men Who Worked in These Kinds of Fields”: Observing Little Sparks Through the Prism of Affect and Gender in Maker Literacies Research
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.
Bibliographic record
Abstract
Abstract This article delves into moments of affect, puncturing the exchanges between an early career 2SLGBTQ+ researcher and a group of Canadian adolescents, mostly composed of girls, who developed a ClayMation video to take the pulse of emerging vibrancies in maker literacies. Among these dynamisms came the matter of gender in the research project. Adopting a dynamic framework that builds on affect theory coupled with queer phenomenology to frame an affective researcher positionality, the author addresses implications of de/constructing gender with/in maker literacies work. To situate her queer positionality, she explores the possibility of coexisting truths in the relationalities that took place in space‐multiplicities of the makerspace, and during moments where she was driving to the research site, going home, taking part in conversations, or drafting notes. Related student data are presented through posthuman vignettes comprised of situated dynamisms between recorded open‐ended interviews, adolescent maps inspired by Hamon's situated geographies, field notes, and digital compositions. Implications for research and practice include: ways of becoming‐with data otherwise and attending to affective phenomena in the context of maker literacies, with the overall aim of de/constructing gender binaries. The author concludes with research and practical implications for literacies work, specifically in co‐constructing methodologies and designs that help reimagine more equitable maker literacies futures.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it