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Record W4379883382 · doi:10.21428/f1f23564.0576ee6f

Making Things Together: Collaborating and Mentoring on an OER Project

2023· article· en· W4379883382 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIDEAH · 2023
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsUniversity of ManitobaSimon Fraser UniversityUniversity of AlbertaUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProcess managementEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

In spring 2020, during the early months of the COVID-19 pandemic, articles in the Smithsonian Magazine and the Atlantic reported a resurgence of interest in handicrafts as a means of both finding calm and building community (Grossman; Machemer; Smith).DIY arts and crafts surged in popularity in North America, with "stay-at-home orders [inspiring] those with ample free time to pick up hands-on projects" (Machemer).At the same time, teaching and learning, as well as academic conferences, moved online into hands-off virtual spaces.Connected by a shared interest in both craft and Victorian material culture, a small group of academics piloted two virtual events to enable hands-on learning in a hands-off context: a roundtable on Victorian objects and a workshop on Victorian hair art.Prompted by COVID-19 restrictions on in-person gatherings and fueled by the community support that coalesced around these events, the group launched a year-long series to study old things using new methods of virtual connection: Crafting Communities: A Series of Victorian Object Lessons & Scholarly Exchanges in COVID Times. 1 In its inception, we, the members of this group, imagined Crafting Communities primarily as a series of virtual events hosted over Zoom.But as we sought to secure a legacy for live roundtable and workshop events by developing a digital exhibit, a podcast, and a website, what we had imagined primarily as an event series morphed into a digital humanities (DH) project and an open educational resource (OER).As we assembled a team of collaborators and recruited student research assistants, our hands-on investigation of Victorian material culture became, also, a hands-on crash course in digital making, collaboration, and mentoring.We found ourselves doing what we now think of as "Accidental DH"-that is, learning about DH methods at the same time as we collaborated remotely with a geographically dispersed group of students.As we pursued our research focus on Victorian material culture and hands-on making, we discovered compelling parallels between our crafting of physical objects and the cultivation of digital legacy projects--that is, online resources and archives created to support and inspire further learning.While we had a lot to learn about the digital tools we were employing, our most valuable lessons concerned mentorship, lessons we learned from making things together as a team collaborating remotely across three provinces.This essay argues for the value of making together as a form of mentoring.In it, we explain how our project's focus on experimental crafting prompted us both to see and to appreciate connections between the processes of experimental crafting and digital making, processes which benefit alike from collaboration and peer mentorship.Our hands-on workshops exploring Victorian craft practices-which emphasized the pleasure of making things, the benefits of working together, and the value of failure as part of learning-primed us to imagine our OER project in similar terms and to focus on hands-on experimentation, peer mentorship, and acceptance of uncertainty.Faculty members on the team thus set aside their traditional roles as supervisorexperts, instead learning alongside student team members in skills-based training sessions and facilitating mentorship opportunities that often centred students as experts, inviting students to mentor the project's faculty members as well as one another.The project thus embraced a multi-directional mentoring model in which all team members had opportunities to learn, teach, and mentor.As faculty members made things together, they

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.470

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.055
GPT teacher head0.357
Teacher spread0.301 · 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