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Why gender matters - Centre for Social Responsibility in Mining ...

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How to – Plan and implement<br />

Gender sensitive <strong>in</strong>dicators<br />

Gender sensitive <strong>in</strong>dicators are<br />

specifically designed to reflect<br />

changes <strong>in</strong> the status and<br />

roles of men and women. This<br />

<strong>in</strong>cludes, but is not limited to, sex<br />

disaggregated data. Indicators<br />

can be specific to <strong>in</strong>ternational,<br />

regional, country specific and<br />

local contexts and be either<br />

qualitative or quantitative.<br />

Indicators <strong>for</strong> <strong>gender</strong> should be<br />

l<strong>in</strong>ked to targets and objectives<br />

at the strategic level, as well as<br />

the project level. Practitioners<br />

will need to determ<strong>in</strong>e, <strong>in</strong> certa<strong>in</strong><br />

cases with stakeholders, which<br />

<strong>in</strong>dicators are appropriate <strong>for</strong><br />

different circumstances. An<br />

<strong>in</strong>dicator that may work with men<br />

may be culturally <strong>in</strong>appropriate to<br />

use with women, or vice versa.<br />

Quantitative <strong>in</strong>dicators by<br />

themselves may not be sufficient<br />

<strong>for</strong> captur<strong>in</strong>g women’s and men’s<br />

experience. This is why qualitative<br />

<strong>in</strong>dicators are extremely<br />

important <strong>for</strong> understand<strong>in</strong>g the<br />

fuller picture. Qualitative and<br />

quantitative <strong>in</strong>dicators can be<br />

complementary. Quantitative<br />

measures are crucial to build<strong>in</strong>g<br />

the case <strong>for</strong> address<strong>in</strong>g <strong>gender</strong><br />

disparities while qualitative<br />

methods enable a more <strong>in</strong> depth<br />

exam<strong>in</strong>ation of <strong>gender</strong> relations<br />

that are not easily quantified.<br />

Follow<strong>in</strong>g is a list of <strong>gender</strong><br />

sensitive <strong>in</strong>dicators (mostly<br />

quantitative) relevant to m<strong>in</strong><strong>in</strong>g<br />

communities. S<strong>in</strong>ce some of<br />

them are very specific to a given<br />

situation, they cannot be tracked<br />

unless there is a commitment<br />

to collect<strong>in</strong>g relevant data on a<br />

cont<strong>in</strong>uous basis. Some of this<br />

<strong>in</strong><strong>for</strong>mation could be collected<br />

dur<strong>in</strong>g a BCA through secondary<br />

sources such as government<br />

statistics.<br />

Some of this <strong>in</strong><strong>for</strong>mation may<br />

also be available through other<br />

functions (eg Human Resources<br />

will have data on labour <strong>for</strong>ce<br />

participation, <strong>gender</strong>/wage<br />

differential etc). Other agencies<br />

or organisations, such as the<br />

local health service or school<br />

might already collect relevant<br />

data. But here too, there may<br />

be issues of confidentiality. In<br />

the beg<strong>in</strong>n<strong>in</strong>g, try to f<strong>in</strong>d a few<br />

<strong>in</strong>dicators <strong>for</strong> which data is<br />

readily available or <strong>for</strong> which data<br />

can be collected and kept easily.<br />

Also f<strong>in</strong>d <strong>in</strong>dicators that make<br />

sense <strong>in</strong> terms of keep<strong>in</strong>g track on<br />

what you are aim<strong>in</strong>g to achieve or<br />

aim<strong>in</strong>g to avoid.<br />

68

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