MétaCan
Menu
Back to cohort
Record W2224532436

Remembering Water: Immigrant water narratives in Waterloo Region

2016· dissertation· en· W2224532436 on OpenAlexaboutno aff
Sarah Christine Anderson

Bibliographic record

VenueUWSpace (University of Waterloo) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPlacemakingNarrativeContext (archaeology)SociologyThematic analysisSnowball samplingQualitative researchNarrative inquiryOral historyGender studiesPolitical scienceGeographySocial scienceLawAnthropologyMedicineArchaeology
DOInot available

Abstract

fetched live from OpenAlex

What water priorities are embedded in the personal water narratives of immigrants in Waterloo Region? How can immigrant water meanings transform local waters? The purpose of this qualitative research was to understand immigrants’ diverse experiences of water and consider what immigrants might contribute to the Canadian water agenda. Fifteen adult immigrants in Waterloo Region were recruited through opportunistic and snowball sampling methods, drawing from the researcher’s personal connections with immigrant settlement organizations and the broader community. Participants offered their water narratives through oral history interviews and follow-up group discussions. Following a collaborative oral history approach, participants were invited to share authority in the thematic analysis of the water narratives. Research into water meanings, translocality, and placemaking offered a theoretical context for the interpretation process. During interviews and follow-up group discussions participants emphasized water’s sacredness and cultural importance, and voiced concerns about who controls water and how we—individually and collectively—can take more responsibility for water. As water practitioners and advocates strive for changes in local water culture, immigrants should not be overlooked as potential agents of change. This research indicates that immigrants may have strong motivations to protect Canada’s waters and contribute to placemaking efforts through which local waters can be restored and revered.

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: none
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicWater Governance and InfrastructureFrench-language works237,207