TIGER-AI-Lab / TIGER-AI-Lab/ScholarCopilot

NEWEST DRADT HARKIS

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Dominant language
Python
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252
Forks
33
Avg merge
1m
Merged PRs (30d)
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Description

condence this text:
Participatory documentary is appropriate because the project is not only asking what participants say about memory and belonging. It is asking how they make representational decisions. Film can register pacing, hesitation, gesture, tone, domestic space, objects, photographs, code-switching, avoidance and refusal in ways that transcripts alone may flatten (MacDougall, 2006; Pink, 2013; Rose, 2016).
At the same time, film cannot transparently reveal inner truth. It always involves framing, selection, editing and interpretation. The thesis will therefore treat documentary-making as a negotiated knowledge practice, not as direct access to participants’ private memory.
These phases reflect participatory research principles by involving participants not only as sources of testimony, but as contributors to decisions about scenes, objects, locations, language, anonymity, subtitles and circulation.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the passage included in the issue and preserve its main claims and citations while shortening it. Done means a concise, readable version of the supplied text that retains the points about participatory documentary, interpretation, and participant involvement.

Written by the indexing model from the issue text.

Assessment

Domain
content
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Quiet
Clarity
Clearly specified
Newbie friendliness
55/100

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