L-orgni maestuz ta’ Bormla : Ghalaq 150 sena
Bibliographic record
Abstract
Fl-arkivju tan-nutara ġewwa \nl-Belt, fost il-ħafna kuntratti li \n \nwieħed isib, hemm dak dwar il- \nbini tal-orgni preżenti li jżejjen il- \nKolleġġjata ta’ Bormla. Il-kuntratt \n \ntal-ħlas għal bini ta’ dan l-orgni \nmaestuż sar 150 sena ilu għand \nin-nutar Salvatore Scifo. In-nutar \nScifo kien wieħed mill-aktar nutara \nnfittxija f’dik il-ħabta ġewwa \nBormla. Hu kien joqgħod fi Triq San \nPawl, numbru 116. Il-kuntratti li \nkellhom x’jaqsmu mal-Kolleġġjata \nkienu jsiru għandu. Il-kanoniċi ta’ \nBormla kienu jmorru għandu biex jagħmlu l-kuntratti tagħhom favur għotjiet ġenerużi \nlill-knisja tal-Immakulata li kienet tant għal qalbhom. Għalhekk ma setax jonqos, li meta \nġew biex jagħmlu orgni ġdid, huma marru għand dan in-nutar biex jorbtu lill-persuna \nmagħżula biex tibni dan l-organi, b’termini speċifiċi. Huma riedu orgni li jagħmel ġieħ \nlil Bormla u lil Malta.
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How this classification was reachedexpand
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.133 | 0.168 |
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; both teacher heads agree on what is shown here.
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".