Las parejas de Pasajes en la pesca del bacalao en Terranova (1950-2000)
Bibliographic record
Abstract
espanolEn este trabajo se narran las vivencias personales habidas en el periodo de dos decadas dedicadas a la pesca del bacalao en los Grandes Bancos de Terra nova. Existiendo abundante bibliografia sobre este tema, me tomo la licencia de incluir aqui algu nos acaecimientos, reflexiones e impresiones, que debido a su caracter integramente personal quiza pu edan anadir un granito de arena en la mejor comprension de aquella aventura tan increible. Sera el ambito de las parejas bacaladeras de Pasajes el que ocupara monograficamente este trabajo y sera solamente mi propia experiencia la fuente que me sirva de inspiracion. Todo lo que aqui narro es exactamente tal como yo lo vivi, pero aseguro que estas experiencias son aplicables en toda su extens ion a quienes participaron de una forma u otra en aquellos trances. A ellos/as se lo dedico EnglishThis article is a personal account of two decades w orking on cod fishing boats in the Grand Banks of Newfoundland. Although there is abundant literature on the subject, I have taken the liberty of including some personal anecdotes, reflections and impressions which I hope will make a small contribution to a better understanding of that extr aordinary venture. The article deals exclusively with the cod pair trawlers of Pasajes and my only source is my own personal experience. Everything I tell here is exactly as I lived it, but I am sure these experiences can be extrapolated to all those who participated in one way or another in the industry and I dedicate it to them. euskaraTernuako Banku Handietan bakailao arrantzan igarota ko bi hamarkadatan pertsonalki bizi izandakoak kontatzen dira lan honetan. Gai honi buruzko biblio grafia ugari izanik, zilegi bekit beren izaera guztiz pertsonala den zenbait gertaera, gogoeta eta inpres io agerraraztea hemen, agian, abentura sinesgaitz haren ulermen egokiagoari neure apurtxoa jarriko di odalakoan. Pasaiko bakailao ontzi bikoteena izango da lan honen gai monografikoa eta neure espe rientzia izango da, soilik, inspirazio iturria. Hemen kontatzen dudana neuk bizi bezalaxe egiten du t baina, ziur diot, bizikizun hauek, beren osotasunean, era batera hala bestera trantze haieta n parte hartu zuten guztiei aplika dakizkieke: Beraiei eskaintzen diet.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".