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Record W2531223505 · doi:10.1504/ijebr.2016.079564

The structure of Ontario's higher education market

2016· article· en· W2531223505 on OpenAlexaboutno aff
Bayan Yousef Farhan

Bibliographic record

VenueInternational Journal of Economics and Business Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMonopolistic competitionMarket structureMonopolyOligopolyNonmarket forcesFactor marketMarket saturationEconomicsMarket share analysisMonopsonyMarket analysisPerfect competitionCompetition (biology)Imperfect competitionProduct differentiationProduct marketBarriers to entryMarket shareIndustrial organizationMarket concentrationMarket microstructureMicroeconomicsOrder (exchange)Cournot competition

Abstract

fetched live from OpenAlex

Similar to many other institutions in a market economy, colleges and universities operate in their own 'marketplace'. The purpose of this paper is to provide analysis of the structure of Ontario's higher education market that is dominated by publicly funded universities. The theoretical framework for this paper is based on the theories of perfect and imperfect competition market structures. Analysis in this paper shows that Ontario's higher education market has some features of a monopolistic competition market. The paper also shows that other market structures (e.g., perfect competition, monopoly, oligopoly, and monopsony) do not represent Ontario's higher education market. While this market structure might not be consistent with the profit maximisation feature in a monopolistic competition market, analysis shows that it is consistent with other features. The combination of competition (many suppliers or institutions) and monopoly (product differentiation) can be seen in the market of higher education in Ontario.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.356
Teacher spread0.313 · 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 designNot applicable
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

Citations1
Published2016
Admission routes1
Has abstractyes

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