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Record W7086635895

When “culture trumps strategy” : higher education institutional strategic plans and their influence on international student recruitment practice

2020· article· en· W7086635895 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationInternationalizationStrategic planningPosition (finance)International educationInstitutional theoryStrategic alignmentPerception
DOInot available

Abstract

fetched live from OpenAlex

Many higher education institutions (HEIs) seek to attract international students through marketing and recruitment activity. At the same time, HEIs are developing strategic plans that suggest internationalisation strategies such as the recruitment of students are an important consideration for their institutions and these strategies and implementation differ by their individual settings and culture. This study uses an international comparison of three universities to explore how HEIs’ strategic plans shape or mediate international student recruitment practice within higher education. The activity theory is used to compare institutional strategies as an activity by considering how practitioners in different parts of the world shape the meaning, outcome and tensions of their practice. Using this approach, the study examines international student recruitment at three HEIs in Canada, Hong Kong and the UK and shows how practitioners of international student recruitment are influenced by their institutional strategic plans, and the extent of this influence on practice is mediated by institutional culture and the practitioner’s position within the institutional hierarchy. The study results indicate that considering strategy practitioners’ perceptions and interpretations of strategic plans provides HEIs with additional resources to improve strategic planning processes by creating and designing plans that address practice implementation within institutions.

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 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 score0.785
Threshold uncertainty score0.804

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.110
GPT teacher head0.333
Teacher spread0.223 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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