Bibliographic record
Abstract
The decision to leave behind one's familiar surroundings and start anew can be a daunting one. Whether it is moving from one house to another, from one city to the next, or even from one room to another, the emotions surrounding displacement can be profound. Fading Roots, Blooming Branches intricately weaves together human emotions and experiences, shedding light on the intricate dance between them. In an era marked by widespread migration, this work delves into the multifaceted nature of displacement, focusing on its personal and emotional dimensions. It strives to transform ordinary daily occurrences into pieces that challenge our assumptions, spotlighting how moving to a new place can reshape identity and belonging, disrupting early attachment experiences. Fundamental to the human journey, attachment finds its resonance within Fading Roots, Blooming Branches. The project invites the audience to connect with universal human experiences, unveiling the intricate interplay between attachment, migration, and the evolution of our emotional landscapes. Through its exploration of how migration shapes identity and belonging, Fading Roots, Blooming Branches mirrors the intricate fabric of our lives. It draws us into a narrative of transformation, urging us to face our attachments, experiences, and aspirations. This artistic journey bridges the personal and the collective, resonating with the shared human voyage.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".