Bibliographic record
Abstract
• DOSSIER: Interven~;ao Social em Comunidades Urbanas • 0 Espa~;o como Poder e o Poder do Espa\;O. !sa bel Gucrra • Dinamica Social e Produ~;ao de Arquitectura num Bairro Urbana. Porjfrio Alves • Anos 60Interven\;iiO Social em Comunidades Urbanas • Ac\;6es de Promo~;ao Social cm Lisboa. lsabel Geada • Trabalho Social de Comunidades nos Bairros Camararios do Porto, M. Augusta Negreiros • Guiao de Caractcriza\;iiO duma Comunidade Urbana Achegas para uma invesliga\;aO, Pedro L!Jff' • Mesa Redonda: Opticas Sectoriais de Interven\;iiO Social em Comunidades Urbana, Francisco Branco, Manue/a Portas, Odete Sci e Tercsa S1i • Preven<;ao em Saude MentalProjcclo de Ac~;ao Directa numa Comunidade Urbana, Luisa Ferreira da Sih·a • Para uma Reflexao sobre a Pr<ilica Profissional dos Jovens Assistentes Sociais, Nuno Caiado, Fcitima Arlllijo • Pelo Munclo: LilleAlma Jacquel, Estralcgias Populares, Paul Grimonpre; • Informa<;6es • Leituras
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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 | 0.005 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.112 | 0.035 |
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".