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
This paper reflects upon my experiences teaching and learning from displaced youth in Greece over a period of eight months in 2017. Following a brief examination of the current challenges in accessing formal education, I examine non-formal education initiatives, summarizing my work with two NGOs in Athens and Chios where I taught lessons in English on ancient Greek art, archaeology, history, and literature. In offering these lessons, my hope was to do more than simply improve students’ language skills or deposit information: I wanted to examine the past to reflect upon the present, exploring themes of migration, forced displacement, and human belonging. Moreover, I wanted to engage students in meaningful connection, to the past and to the present, to one and to others, as a means of building community in and beyond the classroom, at a time when many were feeling alienated and isolated. This paper, therefore, outlines the transformational, liberating learning that took place, citing ancient evidence of displacement and unpacking modern responses by those currently displaced.
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 | 0.001 | 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