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Record W7133068127

Barriers to Entry for Equity-Deserving Farmers in Ontario

2023· dissertation· W7133068127 on OpenAlexaboutno aff
Jordan Hogg

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureOrder (exchange)Food securityQualitative researchQualitative propertyWork (physics)Training (meteorology)Rural areaPlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Agricultural industry is on the brink of a major transformation. Canadian farmers on average, are aging out, and very few have a succession plan in place. Young people are abandoning their careers in the sector in favour of job security in urban centers. Farmers in general, experience a number of challenges associated with owning and operating a farm. However, structural barriers further complicate the ways in which ‘Equity-deserving’ farmers experience and navigate these challenges. There has been limited formal study interrogating how systemic marginalization has impacted the ability for 2SLGBTQ+, women, young and racialized farmers to participate and thrive in the agricultural industry. This thesis focused on equity-deserving farmers living and working in rural and peri-urban regions in Ontario, Canada. The data gathered from qualitative interviews and a demographic survey reveals four major areas of interest: (1) Training and Education Opportunities, (2) Land Access, (3) Identity, and (4) Strength in Community. This thesis offers policy suggestions and highlights the need for collaboration in order to effectively address these ongoing challenges.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.345
Teacher spread0.294 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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