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Record W2790308329 · doi:10.22215/etd/2014-10276

Signifying Difference: Muslim Experiences with Dogs in Canada

2014· dissertation· en· W2790308329 on OpenAlexaffabout
Johanne Horsfall

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsCarleton University
FundersNepal Academy of Science and Technology
KeywordsViewpointsPerspective (graphical)IslamSymbol (formal)SociologySocial psychologySet (abstract data type)PsychologyGender studiesGeographyLinguisticsArt

Abstract

fetched live from OpenAlex

There is a tendency for signifiers to be constructed within intergroup tensions as a means of distinguishing "us and them". Dogs are seemingly held as “man’s best friend” in “Western” society, and often defined as a symbol of certain cultural values not shared by “non dog-lovers” - a label commonly applied to Muslims in these intergroup tensions. Although there may be broader cultural understandings of the ways in which certain animals are conceptualized, an individual’s perspective is, in fact, mediated through the lens of their personal experiences. While dogs are generally held in Islam as unclean animals and not commonly kept as pets, individual Muslims regard them with a diverse set of viewpoints. This study finds that among Canadian Muslims, personal experience appears to exert the greatest influence on personal opinions of dogs. This research was conducted through an analysis of online Muslim forums and an online survey (54 respondents).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.305
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes2
Has abstractyes

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Same topicHuman-Animal Interaction StudiesFrench-language works237,207