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Record W7011055487

Letter from Duncan Campbell to his Mother, 13 July 1838

2023· other· en· W7011055487 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWonderMileWifeStyle (visual arts)Government (linguistics)Assemblage (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

This letter was written while Campbell was stationed at Fort Henry. A letter dated at Kingston, July 13, 1838, is four pages and \ndescribes his journey to Kingston, which involved some time in Niagara Falls. Campbell writes that “We have shifted our quarters about 600 miles to the eastward & the Regt has at last got all together again at Kingston…We had a very pleasant trip of it down here thro the big lakes & touched at several places on the lake Erie coast to get fuel for our Steamer…After getting to \nChippawa (a small town at the east end of the Lake Erie within a mile of Navy Island, where Mackenzie took shelter during the winter) we left our Steamer & marched across to Lake Ontario, passing that nice little cascade that \nperhaps you may have hear of (viz the Falls of Niagara, which the road passes close by). Derinzey & I got leave to remain behind for a day & we saw as much as we could of that wonder of the World. It is quite needless for me to attempt to describe them. We were both smitten with amazement of no ordinary nature. One part of the performance that most of the visitors to the \nfalls go thro is getting underneath the sheet of water, that is getting between it & the immense rock it tumbles over. I cannot say I relished that part of the fun, for the smallest stumble will pitch you into the chaldron wh. wd. be unpleasant to say the least of it. Ten miles below the Falls we got onto another steamer, wh. took us to Toronto, where we [kept] two days…” (Transcription is provided)

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.155
Threshold uncertainty score0.517

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1550.070

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.

Opus teacher head0.010
GPT teacher head0.177
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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