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Record W6969384260 · doi:10.5683/sp3/j2l53y

Postal Code Conversion File Plus [Canada], Version 8A, December 2022, Census of Canada 2021

2025· dataset· en· W6969384260 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2025
Typedataset
Languageen
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsCensusGeographic information systemPopulationGeocodingIdentifierCensus tractLocation

Abstract

fetched live from OpenAlex

<p>The PCCF+ is a SAS© control program and set of associated datasets derived from the PCCF, a 2021 postal code<sup>OM</sup> population weight file, the Geographic Attribute File, Health Region boundary files, and other supplementary data. PCCF+ automatically assigns a range of Statistics Canada standard geographic areas and other geographic identifiers based on postal codes<sup>OM</sup>.</p> <p>PCCF+ differs from the PCCF in that it:</p> <ul> <li>Uses population-weighted random allocation for many postal codes<sup>OM</sup> that link to more than one geographic area.</li> <li>Options are available for institutional postal codes<sup>OM</sup>.</li> <li>Procedures are included to link partial postal codes<sup>OM</sup> to geographic identifiers where possible.</li> <li>Problem records and diagnostics are provided in the program output, along with reference information for possible solutions.</li> </ul> <p>The geographic coordinates, which represent the standard geostatistical areas linked to each postal codes<sup>OM</sup> on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). In April 1983, the Geography Division released the first version of the PCCF, which linked postal codes to 1981 census geographic areas and included geographic coordinates. PCCF+ was first created using the 1986 census and has been updated regularly with population weight files calculated for each census from 1991 through 2021.</p> <p>The purpose of the PCCF+ is to provide a link between six-character postal codes<sup>OM</sup> produced by the Canada Post Corporation (CPC), standard 2021 Census geographic areas (such as dissemination areas, census subdivisions, and census tracts) produced by Statistics Canada, and supplementary administrative areas and neighbourhood income quintiles. Postal codes<sup>OM</sup> do not respect census geographic boundaries and so may be linked to more than one standard geographic area, or assigned to more than one set of coordinates. Therefore, one postal code<sup>OM</sup> may be represented by more than one record. The PCCF product, produced by Statistics Canada, provides links between postal codes and all recorded matches to census geography. PCCF+ uses the PCCF but provides additional functionality in that it uses a population-weighted matching process for some residential postal codes<sup>OM</sup> where more than one geographic code is possible. PCCF+ also provides routines for institutional postal codes<sup>OM</sup> and for historic postal codes<sup>OM</sup>. The purpose of this product is <i>not</i> to validate postal codes<sup>OM</sup> or the PCCF.</p>

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)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.324
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.020
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3240.123

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 head0.026
GPT teacher head0.306
Teacher spread0.280 · 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.

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
Published2025
Admission routes1
Has abstractyes

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