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Record W3102296296

Studying Abroad: An Anti-Colonial Inquiry

2020· dissertation· en· W3102296296 on OpenAlexaboutno aff
Chrissy Michelle Deckers

Bibliographic record

VenueTSpace · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Study abroad has the potential to provide a valuable learning opportunity, provided students are supported throughout their experience to critically think and challenge the reification of knowledge hierarchies that are endemic of a colonial education system. This dissertation employs an anti-colonial discursive framework to explore the supports that exist in Ontario’s college system for domestic students engaging in a study abroad experience. Representatives from Ontario’s colleges were interviewed to gain insights into what pedagogical strategies were being used to support domestic students’ critical thinking pre-departure, while abroad, and upon return. Challenges to the implementation of a pedagogical framework, as well as participants’ views on best practices, were also explored. Thematic analysis was used to analyze the data. Findings indicate that the export commodity and human capital development models of internationalization inform the availability of study abroad support for domestic students. Despite the existence of some support, participants referenced a lack of a well-established framework to guide the experience. Pre-departure supports emphasized culture and safety, whereas, while abroad and upon return, reflection was a frequently used pedagogy. Participants emphasized the need for greater pedagogical supports throughout the study abroad experience. There is an opportunity to further develop the framework for pedagogical strategies, as participants reported a time of change at their respective institutions, with the formalization of processes and the centralization of resources underway. Recommendations are provided.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.050
GPT teacher head0.400
Teacher spread0.350 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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