Investigation of Remote Work for Aerospace Systems Engineers
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 In many industries, remote work is becoming increasingly common. The global COVID‐19 pandemic has accelerated this shift, which poses a particular challenge to aerospace systems engineers (ASEs). ASE work is complex, consisting of a number of tasks that are traditionally largely conducted in‐person. Little literature exists to establish a basic understanding of remote work in the context of aerospace systems engineering development projects. This paper presents the results of an interview study, where hypotheses are explored to provide initial understanding of remote work in this context, and to motivate future studies. Analysis revealed: Design reviews experienced both challenges and benefits; Remote work has complicated collaborative work with artifacts; Assembly, Integration and Testing activities experienced significant challenges; Solutions have been thought of or implemented by ASEs, in particular the use of Slack and strategies managers may use to support their team members. Several additional research questions are motivated.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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