Relacion del Conquistador Bernardino Vasquez de Tapia
Bibliographic record
Abstract
~N, The year fifteen hundred and"seventeen, this Gove~ol".Don Diego Velazquez sending his cousin, the Captain, Juan de Grijalva; with four ships of war, in theservice'.ofYour Maje$ty to.'discoverisIandsot'l1ew lands,'I went ,with the Heet ~s Ensign General ofall the men and annament;'and.on that voyage wediscQvered,the.IslandofCo;lum.el'andtlte coa~t of Yuca~n,from iheparty in the'south to a place wenam~d the Ba~of,' Ascensi6n.'Afterw~lJ:ds, wcf f(jIlowedthe coast SQ~tbw~tand' East'and North.and cameunta a great town thatwa.scaIledCat;npeche;here we-disembarked and the na~vesgave US~battle; in wbich wewere in dire ~nger of losing our lives' and the Captain.~me.outbadly wounded as did all afus who were there, and.oneg'entle11lan-soldier was killed.Farther on we discovered land of New Spain and arrived at the great river Tabasco which we named Rio de Grijalva, and entering ou~ / ships in the river we saw the town of Tabasco, which we tookposses~ sion of in the name of Your Majesty.After that, we wentalo~g ,the coast until we arrived at tbe'Islandof Sacrifices and the port of San Juan de Ulna, where we' diseIllbarkedilDdwere manydays,'and~ete .weheard of the wealthy city of Mexico andother cities and provinces in this ~nd.Then we sailed to the portofYilla Rica, and from there up the coast'and discovered a great tOwn, that we named Almeria,a~d ~rther OD, a large, river that we• called San,Pedro and SanPa1>lo, on ,-r '. .,~c, ' , ~:','~~.\(~-,::'."<-:~"" -' _. "."
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.032 | 0.002 |
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".