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Record W2524429204 · doi:10.1177/1557988316669617

Canadian Men’s Perspectives of Depression: Awareness and Intention to Seek Help

2016· article· en· W2524429204 on OpenAlexafffundabout
John S. Ogrodniczuk, John L. Oliffe, Nick Black

Bibliographic record

VenueAmerican Journal of Men s Health · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of British Columbia
FundersMovember Canada
KeywordsSeriousnessDepression (economics)PsychologyPresumptionPsychiatryHelp-seekingAction (physics)Mental healthSocial psychologyMedicine

Abstract

fetched live from OpenAlex

It is often presumed that men are generally unaware of depression being a serious health issue and are unlikely to seek professional help if they became depressed. To test this presumption, Canadian men's ( N = 452) perspectives regarding awareness of depression and likelihood of seeking help for depression were solicited. While 78.7% of respondents recognized depression as a significant health issue for men, only 58.5% felt fairly or very well informed about depression. In terms of help-seeking intentions, 82.6% of respondents indicated that they probably or definitely would seek professional help if depressed. Contrary to popular depictions, the findings suggest that Canadian men are indeed aware of the seriousness of depression as a health issue, yet many are poorly informed about it. Furthermore, most men are well intentioned when it comes to seeking help if they became depressed. The findings imply that greater efforts are required to improve men's understanding of depression (symptoms, triggers, approaches to care), which may help translate intentions to seek help into concrete action.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.603

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.337
Teacher spread0.317 · 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 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

Citations12
Published2016
Admission routes3
Has abstractyes

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