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Record W4406821165 · doi:10.55016/ojs/sppp.v18i1.80403

Canadian Junior Public Markets Health Check: Surprising Resilience Thus Far, Some Concerns Looking Forward

2025· article· en· W4406821165 on OpenAlexaboutno aff
Laura Ann Wilson

Bibliographic record

VenueThe School of Public Policy Publications · 2025
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)BusinessPsychologyPublic relationsPolitical sciencePhysics

Abstract

fetched live from OpenAlex

It is widely recognized that Canada, along with other developed Western economies, has a significant public capital markets problem. Increasingly fewer operating companies are choosing to go public, limiting access to the most attractive growth-stage opportunities for retail investors. Thus far, analysis of the public company decline phenomenon in Canada has focused almost exclusively on the Canadian senior capital markets. Reasons for the lack of focus on the Canadian junior markets include: i) fragmented nature and inconsistent data accessibility, requiring extraction and collation of data from a variety of different underlying sources; and ii) the fact that Canadian junior capital markets are unique, primarily dealing with companies of a smaller size and earlier stage of maturity than one would encounter in other international public markets. Yet, the Canadian junior capital markets fill a critical role in the Canadian economy, in particular because of the lower level of access to institutional private capital for startup and growth-stage businesses in Canada compared to our American neighbours. This paper conducts a health check on the Canadian junior public markets. Surprisingly, the evidence demonstrates that the junior markets have proved resilient in the face of headwinds and the total number of listed operating companies on the junior stock exchanges in Canada has not followed the declining trendline of the senior markets. The makeup of issuers listed on Canadian junior public markets has evolved materially over the past 15 years; as the market has fragmented, new competitors have taken market share from the incumbent TSX Venture Exchange.

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 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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.366
Teacher spread0.329 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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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