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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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