MétaCan
Menu
Back to cohort
Record W7047247591

The Grass is Greener on the Other Side: What Motivates Backpackers to Leave Home and Why They Choose New Zealand as a Destination

2011· dissertation· en· W7047247591 on OpenAlexaboutno aff

Bibliographic record

VenueOtago University Research Archive (University of Otago) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsTourismDestinationsIdentity (music)Order (exchange)Qualitative researchParticipant observationConsumer behaviourLived experiencePreferenceEthnography
DOInot available

Abstract

fetched live from OpenAlex

This research explores why backpackers decide to leave home and why they choose New Zealand specifically as a destination. While there has been some prior research focusing on backpacker motivations, very little has looked at both the backpacker‘s decision to leave home and his/her destination choice. Furthermore, almost no previous research has looked at both aspects together within a New Zealand context. New Zealand is a popular backpacker destination and has a well-established backpacker industry. This makes the findings of this research relevant for the academic literature and for New Zealand‘s backpacker industry and the tourism industry more generally. 
\n
\nIn this research backpackers were defined as young, long-term budget travellers who emphasise socialising and interacting with locals and other travellers. They travel independently and have flexible itineraries. Semi-structured in-depth interviews with fourteen backpackers were carried out in Queenstown in the South Island of New Zealand in August 2010. The backpackers were aged between nineteen and thirty-four years of age with five coming from England, three from Ireland, two from Canada and one each from Wales, France, Germany and the Netherlands. 
\n
\nSix main themes emerged from the interviews to explain why backpackers choose to leave home and go backpacking. The first two relate to the desire to explore the wider world and meet new people; backpackers travel in order to have experiences unavailable at home. The third factor that emerged from the interviews relates to self-development and identity formation and this reflects the findings of previous research. While not necessarily a conscious motivating factor, the backpackers interviewed alluded to a desire for cultural capital. Many of the backpackers had been wanting to travel for a long time and often the decision to go backpacking was related to a lack of commitments at home coinciding with the availability of both time and money with which to travel. 
\n
\nThree main themes emerged from the interviews to explain why backpackers specifically choose New Zealand as a destination. Overwhelmingly, the main motivating factor for coming to New Zealand related to the country‘s scenic landscapes. New Zealand is a highly recommended destination and all but one of the backpackers had friends and/or family who had previously visited the country. New Zealand is an extremely popular backpacker destination and the idea of a round-the-world ―backpacker route‖ including Asia, Australia, New Zealand, Fiji and the United States was mentioned by several interview participants. For some of the backpackers interviewed there was no specific reason to come to New Zealand except that it was perceived as a must-see backpacker destination. Somewhat surprisingly, neither Maori culture nor adventure tourism was found to be a motivating factor for backpackers to come to New Zealand. 
\n
\nThis thesis concludes by emphasising the implications of these research findings for both the academic literature and the New Zealand tourism industry. Suggestions are made regarding issues within backpacker tourism that require further research – particularly those relating to how backpacking is changing and developing in the twenty-first century.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.241
Teacher spread0.219 · 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 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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueOtago University Research Archive (University of Otago)Same topicLightning and Electromagnetic PhenomenaFrench-language works237,207