Flying the skies to wire the seas: Subsea cables, remote work, and the social fabric of a media industry
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
Since the commercial aviation boom in the 1960s and 70s, the subsea cable industry has relied on global air travel for network development, infrastructure maintenance, and market penetration. However, COVID-19 disruptions forced a shift to remote work, challenging traditional travel practices and presenting an opportunity for carbon emission reduction. This study investigates the industry’s response to the “new normal” and its implications for mobility and sustainability. We employ a media industries approach and conduct open-ended interviews with industry leaders to examine the potential balance between remote work benefits and essential in-person aspects, questioning whether the industry should return to pre-pandemic travel levels or embrace remote work’s ecological and financial benefits. Our findings indicate that remote work suitability varies depending on project stage, involved personnel, and the existing social fabric. To facilitate travel-related carbon footprint monitoring for cable consortiums, we developed a calculator to determine the industry’s emissions when adopting remote work. Our interdisciplinary study also emphasizes mobility’s intricate role in subsea cable systems and broader media infrastructure studies. By scrutinizing corporate cultures, communication practices, and transportation infrastructures, we enhance the scholarly comprehension of the social fabric underpinning global digital networks and investigate potential shifts toward a more sustainable media industry.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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