An Gúm agus an Afraic Theas: ciorrú téacsanna, an chinsireacht pholaitiúil, agus cairdeas na míshástachta
Bibliographic record
Abstract
Ar an bheagán leabhar Gaeilge faoin Afraic Theas, tá Commando (1938), aistriúchán le Niall Ó Domhnaill ar Commando: A Boer Journal of the Boer War le Deneys Reitz, agus An Aifric Theas (1947), bunleabhar faisnéise le hÉamonn Mac Giolla Iasachta. Ba é an Gúm, an brainse foilsitheoireachta Gaeilge den Roinn Oideachais a d’fhoilsigh an dá shaothar. Is díol suime na leabhair féin: an cuntas lán de ghníomhartha gaile agus gaisce le hógfhear a raibh lámh aige i gCogadh na mBórach in Commando , cuntas a foilsíodh ag am nuair ba ann go fóill do dhearcadh rómánsúil in Éirinn faoi na hAfracánaigh a thug dúshlán impireacht na Breataine ag tús an fichiú haois; agus, in An Aifric Theas , an cuntas finné súl ar an Afraic Theas sna 1930idí le húdar a raibh ceangail teaghlaigh aige leis an tír. Ach faoi mar a léiríonn an t-alt seo, caitheann scéal fhoilsiú an dá théacs Gaeilge, agus cinneadh an Ghúim ábhar a bhaint de scríbhinní na leabhar, solas ar an chumann chigilteach a bhí ag Rialtas na hÉireann le Rialtas Aontas na hAfraice Theas idir na 1920idí agus na 1940idí.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.009 |
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".