Dánta Polaitiúla Neamhfhoilsithe Éadbhaird de Nógla ( <i>c.</i> 1700–82)
Bibliographic record
Abstract
Achoimre Díríonn an t-alt seo ar naoi ndán pholaitiúla le hÉadbhard de Nógla. Is é aidhm an ailt solas a chaitheamh ar dhearcadh polaitiúil an Nóglaigh agus an chaoi ar léirigh sé a thuiscint ar imeachtaí polaitiúla ó na daichidí go dtí na hochtaidí san ochtú haois déag. Ní chuirtear a dhánta ar Chogadh na Seacht mBliana san áireamh sa phlé seo, áfach, toisc go bhfuil siad sin in eagar ag údar eile cheana féin. Pléitear ceithre dhán ar Shéarlas Éadbhard Stíobhart agus ar chúrsaí polaitiúla na hEorpa, chomh maith le dán amháin ar Chogadh Quebec i Meiriceá Thuaidh. Déantar plé anseo ar amhrán grá agus polaitiúil ar Mháire Treasa, Banríon na hOstaire, den chéad uair. Ag tús na 1770idí chum an Nóglach dán polaitiúil ina bhfuil macalla de stíl an fhile, Eoghan Rua Ó Súilleabháin, mar aon le hamhrán macarónach a léiríonn scil an fhile sa dá theanga. Scríobh de Nógla aisling pholaitiúil amháin ag deireadh a shaoil ina léiríonn sé a dhílseacht don Seacaibíteachas agus a thugann tuiscint ar leith dúinn ar a chumas mar fhile. Déantar scrúdú ar an aisling sin mar chuid den aiste seo, chomh maith.
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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 | 0.000 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.117 | 0.049 |
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".