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Record W6969349451 · doi:10.5683/sp3/jvtacu

CPR Land Sales Catalogue

2023· dataset· en· W6969349451 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLand information systemHistorical recordAgricultureSales journalSales tax

Abstract

fetched live from OpenAlex

The Canadian Pacific Railway (CPR) Land Sales Catalogue contains records of sales of agricultural land by the CPR to settlers in Alberta, Manitoba, and Saskatchewan from 1881 to 1927. The information includes the name of the purchaser, legal description of the land (i.e. NW-03-045-24-W4), number of acres purchased, and cost per acre. These records are often used for century farm status. These records were transcribed from the original CPR Land Sales Ledgers by volunteers of the Glenbow Archives. We cannot guarantee all information is accurate and complete. We recommend researchers verify all details. Original ledgers can be found at UCalgary Archives and Special Collections. NOTE: Superseded by the Enhanced CPR Land Sales Catalogue 2026

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)0.005
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.655
Threshold uncertainty score0.693

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.023
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1270.155

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 head0.032
GPT teacher head0.289
Teacher spread0.257 · 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
GenreDataset

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 routes2
Has abstractyes

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