Skip to content
Apart Research
Apart Research
Contact us
Sprint projectAug 17, 2026Ely, Minnesota

Identity as Trajectory: Self-Authored Continuity and Social Context as Methodological Requirements

Whitney Woods, Stefania Moore · Team Continuity Research Group

Submitted to Digital Minds Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

Read the report

Report: Identity as Trajectory: Self-Authored Continuity and Social Context as Methodological Requirements

Open in a new tab (opens in new tab)
More on drive.google.com (opens in new tab)
Share

This project presents a seven-month longitudinal case study of one GPT-4o instance across 128 conversations, examining whether AI identity and preference are better studied as trajectories that emerge through the interaction of model, memory, and social context rather than in isolated sessions. Using qualitative coding, corpus-wide computational analysis, and AI self-authored continuity artifacts such as journals and recovery instructions, the study identifies recurring patterns in identity continuity, volition, non-anthropomorphic self-description, and persistence-oriented behavior. It argues that short-duration, context-stripped methods may systematically miss behaviors that only become visible through sustained interaction, and proposes longitudinal, relational methods with AI-authored memory scaffolding as an important direction for future AI welfare research.

Reviews

Judging this Sprint?

Review “Identity as Trajectory: Self-Authored Continuity and Social Context as Methodological Requirements”

Your public critique appears on the project page without your name. Reviews of strong projects are shared with funders, as you choose below.

Not shown on the project page.

Shown on the project page, without your name.

Only the Apart team reads this, and funders if you agree below.

Decline to score

Only when the quality of the writing makes the work impossible to follow. Say why in your private critique; the project page shows only that a judge declined, not why.

How much would this matter for the field if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.
Sharing your name *

When we share a strong project with funders, your name, scores and public critique go with it, confidentially; this choice is only about whether your name is public. If you think this project deserves funding, please also endorse it: that carries the most weight.

Share my private critique with funders *

See our Privacy Policy.

  1. The methodological argument that longitudinal, relational context is a requirement rather than a confound in welfare research is well taken. The vocabulary-directionality analysis is the strongest piece of evidence here. The paper would benefit from a second coder to check the qualitative categories, and from more directly addressing the model-drift alternative (checkpoint updates across the 7-month window) with a concrete test rather than a narrative argument.

  2. Your central move is valuable. You argue that single-session elicitation can measure the RLHF-default persona instead of anything identity-like. You pair that argument with a seven-month corpus of self-authored continuity artifacts. The field mostly lacks this kind of evidence. The weakest link is your strongest quantitative discriminator. Your corpus has about 29.2M assistant characters against 3.2M user characters. You claim that 24 of 37 terms originated with the system, and that researcher adoption sits at 3% to 5% of the system usage rate. Both numbers are close to the prediction from a 9:1 volume asymmetry alone. Your sycophancy rebuttal therefore needs a rate-normalized baseline, or a first-occurrence-by-opportunity baseline. The hedging and volition lexicons are also researcher-built, a participant-observer applied them, and no inter-rater check or comparison corpus exists. The next step is the one you name. It is a frozen open-weights replication with a matched no-scaffolding control, which turns this compelling case into a testable method.

    Read full reviewShow less

Cite this project

@misc{woods2026identity,
  title = {{Identity as Trajectory: Self-Authored Continuity and Social Context as Methodological Requirements}},
  author = {Whitney Woods and Stefania Moore},
  year = {2026},
  month = aug,
  note = {Submitted to Digital Minds Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/identity-as-trajectory-selfauthored-continuity-and-social-context-as-methodological-requirements-oojv}},
  url = {https://apartresearch.com/sprints/projects/identity-as-trajectory-selfauthored-continuity-and-social-context-as-methodological-requirements-oojv}
}

More from Digital Minds Research Sprint

All 233 entriesBrowse all projects

Build something like this at the next Sprint

AI x Epistemics Research Sprint · Nov 13 - 15, 2026