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
Indenfor en række aktuelle tematikker i skolen (f.eks. klimakrise,<br/>geopolitik, krig og AI) tales der om vigtigheden af, at børn og unge<br/>(for)bliver håbefulde. ”Tag ikke håbet fra børnene og de unge.”,<br/>hører man ofte forældre, lærere og skolefolk sige i og udenfor<br/>den offentlige debat. Men hvad betyder håb egentlig i pædagogisk<br/>praksis? I dette kapitel udforsker vi håbets rolle i pædagogikken<br/>og spørger, hvordan man kan arbejde med pædagogik som håb.<br/>I kapitlet går vi i dialog med pædagogiske tænkere og praktikere<br/>som Gert Biesta, Tyson Lewis, Paulo Freire, Elizabeth Ellsworth og<br/>udfolder et kvalificeret begreb om håb i en pædagogisk kontekst<br/>– en forståelse af håb, som også rummer engageret samfundskritik<br/>og negative følelser.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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