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Record W4393189939 · doi:10.1079/tourism.2024.0037

The Inequitable Years: Backcountry Experiences After Pregnancy

2024· article· en· W4393189939 on OpenAlexaff
Rebecca Koroll

Bibliographic record

VenueTourism Cases · 2024
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPregnancyGeographyPsychologyBiology

Abstract

fetched live from OpenAlex

Summary Motherhood brings exciting changes and challenges. All at once you experience changes to family dynamics, priorities, work-life balance, and your leisure. In the case of outdoor leisure participation, a mother’s ability to participate is largely influenced by the age of your child, your physical stamina, and emotional or psychological ability to handle, expect, plan, and adapt to your child’s and your own changing needs during participation. Specifically, this is true in activities that take place in remote, or backcountry settings as opposed to urban or near-urban settings. Accessibility is limited to moms who can take on (and financially afford) to carry their child on their back for long periods at a time. Few trail systems, that are not located inside conservation areas or parks, are designed with accessibility in mind. For any parent, this includes not being stroller friendly. Social media is abundant with “hacks” for the once outdoorsy moms to get back outside with their kids but, unless you have the resources and time, this often is not realistic until you have an independently mobile child. Moms looking to participate in outdoor leisure with infants are subject to extensive costs, planning, and high levels of fitness to be able to enjoy outdoor spaces and wellbeing benefits. In this case study, I offer a reflection of my experience trying to re-enter the world of back-country hiking with an infant. I consider the financial, physical, and psychological constraints faced when trying to “belong” in the outdoors, in this new phase of life. Information © CAB International 2024

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.311
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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